Chee Seng Chan

CS CHAN
 
Associate Professor
University of Malaya
Department of Artificial Intelligence
     

My research interests are computer vision and fuzzy set theory. I particularly focus on image/video content analysis, that enables automatic analyzing of image/video to detect and determine spatial and temporal events. Potential applications include visual surveillance, robots, entertainments etc. I was the founding Chair for the IEEE Computational Intelligence Society (CIS) Malaysia chapter, the organising chair for ACPR in 2015, and general chair for VCIP in 2013. I am a Senior Member of IEEE, a Chartered Engineer and a Member of IET.

PhD opportunities

I am always interested to hear from prospective research students. Scholarships are available from time to time, contact me to enquire.

News

April 2018
I co-organized a tutorial on Toward Interpretable Deep Learning via Fuzzy Logic at IJCAI-ECAI'18, Stockholm, Sweden.
March 2018
I co-organized a workshop on Workshop on Interpretable & Reasonable Deep Learning and its Applications (IReDLiA) at IJCAI-ECAI'18, Stockholm, Sweden.
December 2017
One(1) paper (oral) presented at ICDAR'17, Kyoto, Japan.
May 2017
I co-author a book with titled - "Human Motion Sensing and Recognition: A Fuzzy Qualitative Approach" is now available.

tutorial  

Image Captioning using Phrase-based Hierarchical LSTM Model

Invited Talk at Nvidia AI Conference
Slides (PDF)

This invited talk was presented at Nvidia A.I. Conference, Singapore. The talk highlights how image captioning can be used to assist visual impairment society.

tutorial2  

Computer Vision: A Computational Intelligence Perspective

Tutorial at FUZZ-IEEE/WCCI
FUZZ2017 | WCCI2016 Part I | WCCI2016 Part II

How modern computer vision (CV) research and possible directions, tools and novel ideas that the computational intelligence (CI) community may contribute.

TEDx  

A.I. - A Dream or A Nightmare (人工智能,美夢還是噩夢?)

TEDx PetalingStreet
Teaser
 

Selected Publications

2018

 
Crowdcounting  

Granular-based Dense Crowd Density Estimation

V.J. Kok and C.S. Chan
Multedia Tools and Applications
doi

Study crowd counting using the concept and principles of granular computing.

FDE  

Numerical Solutions of Fuzzy Differential Equations by an Efficient Runge-Kutta Method with Generalized Differentiability

A. Ahmadian, S. Salahshour, C.S. Chan and D. Baleanu
Fuzzy Sets and Systems
doi

Study an extended fourth-order Runge-Kutta method to approximate the solutions of first-order fuzzy differential equations using a generalized characterization theorem.

2017

 
Total-Text  

Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition

C.K. Ch'ng and C.S. Chan
ICDAR (Oral, Acceptance rate: 52/409 ~ 12.7%.)
pdf | arXiv (extended ver.) | slide | dataset

To facilitate a new text detection research, we introduce the Total-Text dataset, which is more comprehensive than the existing text datasets. Total-Text consists of 1555 images with more than 3 different text orientations, one of a kind.

PlantNet  

How Deep Learning Extracts and Learns Leaf Features for Plant Classification

S.H. Lee, C.S. Chan, S. Mayo and P. Remagnino
Pattern Recognition
pdf | github | dataset | webpage

Study how deep learning can be used in plant classification. Two public leaf datasets - MalayaKew and Flavia are employed.

 
Crowd Segmentation  

GrCS: Granular Computing Based Crowd Segmentation

V.J. Kok and C.S. Chan
IEEE Transactions on Cybernetics
pdf | webpage

Study crowd segmentation using the concept and principles of granular computing.

ArtGan  

ArtGAN: Artwork Synthesis with Conditional Categorical GANs

W.R. Tan, C.S. Chan, H. Aguirre and K. Tanaka
ICIP
pdf | poster | dataset

Build a GANs to create realistic artwork. Wikiart dataset that consists of 80K artworks is used.

HGO  

HGO-CNN: Hybrid Generic-Organ Convolutional Neural Network for Multi-Organ Plant Classification

S.H. Lee, Y.L. Chang, C.S. Chan and P. Remagnino
ICIP
pdf | poster | github | webpage

Introduce a hybrid generic-organ CNN, which takes into account both organ and generic information for plant classification. State-of-the-art results in PlantClef2015 with Image-centered score = 0.69 and Observation score = 0.717.

FDS  

Fractional Differential Systems: A Fuzzy Solution based on Operational Matrix of Shifted Chebyshev Polynomials and its Applications

A. Ahmadian, S. Salahshour and C.S. Chan
IEEE Transactions on Fuzzy Systems
pdf

Introduce a suitable way to approximate a fuzzy solution for linear FFDEs. As applications, it can be used for fractional differential equation models under uncertainty encountered in engineering and physical phenomena (i.e., viscoelasticity, oscillations, and resistor-capacitor (RC) circuits).

2016

 
philstm  

phi-LSTM: A Phrase-based Hierarchical LSTM Model for Image Captioning

Y.H. Tan and C.S. Chan
ACCV (Acceptance rate: 143/590 ~ 24%)
pdf | arXiv (extended ver.) | poster

Build an image captioning system based on phrase.

fineart  

A Deep Convolutional Network for Fine-art Paintings Classification

W.R. Tan, C.S. Chan, H. Aguirre and K. Tanaka
ICIP
pdf | supp. material | poster | github | dataset

Preliminary study on artwork classification using AlexNet.

early  

Early Detection of Human Actions - A Hybrid Approach

E. Vats and C.S. Chan
Applied Soft Computing
pdf

Study a classifer that is capable to recognize human action when only partial action sample is seen.

fqhm  

Fuzzy Qualitative Human Model for Viewpoint Identification

C.H. Lim and C.S. Chan
Neural Computing and Applications
pdf

A view-invariant human model based on Poisson and fuzzy qualitative reasoning.

crowdsurvey  

Crowd Behavior Analysis: A Review where Physics meets Biology

V.J. Kok, M.K. Lim and C.S. Chan
Neurocomputing
pdf

A crowd behavior analysis survey with 180 references.

ops  

Orthogonal Planar Search (OPS) for Coronary Artery Centerline Extraction

S. Tang and C.S. Chan
Signal, Image and Video Processing
pdf

Investigation of orthogonal planar search for coronary artery centerline extraction from computed tomography angiography.

2015

 
unveil  

Unveiling Contrast in Darkness

Y.P. Loh and C.S. Chan
ACPR
pdf | poster

Build a visual analytic model to unveil the ”hidden” contents in low-light (nightime) images. As application, it can be used for people detection at nighttime.

zero  

Zero-Shot Object Recognition System based on Topic Model

W.L. Hoo and C.S. Chan
IEEE Transactions on Human-Machine Systems
pdf | webpage

Zero-shot learning based on topic model. Result on AwA Dataset = 49.65%.

plant  

Deep-Plant: Plant Identification with Convolutional Neural Networks

S.H. Lee, C.S. Chan, P. Wilkin and P. Remagnino
ICIP (Oral)
pdf | github | dataset | webpage

Study convolutional and deconvolutional network to understand plantation. A new leaf dataset (MalayaKew) is proposed.

fuzzyscene  

An Improved BK Sub-Triangle Product Approach for Scene Classification

E. Vats, C.K. Lim and C.S. Chan
Journal of Intelligent & Fuzzy Systems
pdf | webpage

A preliminary study on early human action recognition using fuzzy BK subproduct inference mechanism. Nominated as the Best Student Paper Award at FUZZ-IEEE 2015.

robot  

A Novel Multimodal Communication Framework using Robot Partner for Ageing Population

D. Tang, B. Yusuf, J. Botzheim, N. Kubota and C.S. Chan
Expert Systems with Applications
pdf

A new multimodal human-robot interaction framework to support elderly people in their daily life.

hmasurvey  

Fuzzy Human Motion Analysis: A Review

C.H. Lim*, E. Vats* and C.S. Chan (*indicates equal contribution)
Pattern Recognition
pdf

First fuzzy review paper in human motion analysis with 252 references.

interval  

A Weighted Inference Engine based on Interval-valued Fuzzy Relational Theory

C.K. Lim and C.S. Chan
Expert Systems with Applications
pdf

Study a high reliability inference engine that is rule-free, tolerate to uncertainty with interval-valued fuzzy sets and consider features weight. Tested on 3 publicly available medical data sets, i.e. Statlog Heart (Heart), Pima Indians Diabetes (Pima) and Wisconsin Diagnosis Breast Cancer (WDBC).

interval  

Color Video Denoising using Epitome and Sparse Coding

H.Y. Lee, W.L. Hoo and C.S. Chan
Expert Systems with Applications
pdf

An unified framework to solve video denoising.

2014

 
unveil  

Scene Image is Non-Mutually Exclusive - A Fuzzy Qualitative Scene Understanding

C.H. Lim, A. Risnumawan and C.S. Chan
IEEE Transactions on Fuzzy Systems
pdf | github | webpage

Proposed fuzzy qualitative rank classifier to handle natural scene classification.

textedge  

A Robust Arbitrary Text Detection System for Natural Scene Images

A. Risnumawan, P. Shivakumara, C.S. Chan and C.L. Tan
Expert Systems with Applications
pdf | dataset

Curve text detection. A new dataset (CUTE80) is proposed.

mamo  

Refined Particle Swarm Optimisation Method for Abrupt Motion Tracking

M.K. Lim, C.S. Chan, D. Monekosso and P. Remagnino
Information Sciences
pdf | dataset | webpage

Abrupt motion tracking using PSO. A new tracking dataset (MAMo) is proposed.

crowdsaliency  

Crowd Saliency Detection via Global Similarity Structure

M.K. Lim*, V.J. Kok*, C.C. Loy and C.S. Chan (*indicates equal contribution)
ICPR (Oral, Acceptance rate: 198/1409 ~ 14%.)
pdf | dataset | webpage

To identify and localize salient regions in a crowd scene, by transforming low-level features extracted from the crowd motion field into a global similarity structure.

randomf  

Enhanced Random Forest with Image/Patch-Level Learning for Image Understanding

W.L. Hoo, T-K. Kim, Y. Pei and C.S. Chan
ICPR (Oral, Acceptance rate: 198/1409 ~ 14%.)
pdf | supp. material

Study discriminative RF codebook learning and generative classifier learning in image understanding. Tested on 15-scene (77.38%) and C-Pascal (85.29%) datasets.

ell  

Detection of Salient Regions in Crowded Scenes

M.K. Lim, C.S. Chan, D. Monekosso and P. Remagnino
Electronics Letters
pdf

Employed temporal variations in the flow field of a crowd scene to automatically detect salient regions.

2013

 
plsa  

PLSA-based Zero-Shot Learning

W.L. Hoo and C.S. Chan
ICIP
pdf | poster | webpage

A novel approach of zero-shot learning. Tested on PubFig (54.35%), CIFAR-100 (54.85%) and Caltech-256 (51.49%) datasets with 2 unseen class.

inferencengine  

An Inference Engine Based on Interval Type-2 Fuzzy BK Subproduct

C.K. Lim and C.S. Chan
FUZZ-IEEE (Oral)
pdf

Propose two enhancements on BK subproduct.

inferencengine  

Fuzzy Action Recognition for Multiple Views within Single Camera

C.H. Lim and C.S. Chan
FUZZ-IEEE (Oral)
pdf

A framework to model human action from different viewpoints within a single camera.

abruptmva  

SwATrack: A Swarm Intelligence-based Abrupt Motion Tracker

M.K. Lim, C.S. Chan, D. Monekosso and P. Remagnino
MVA
pdf | webpage

A preliminary study on abrupt motion tracking with PSO.

cact  

A Neighbourhood Search Feedback for Coronary Artery Centerline Tracking

S.L. Tang and C.S. Chan
MVA
pdf | poster

A preliminary study on coronary artery centerline tracking.

2007-2012

 
skin  

A Fusion Approach for Efficient Human Skin Detection

W.R. Tan, C.S. Chan, Y. Pratheepan and J. Condell
IEEE Transactions on Industrial Informatics, 2012
pdf | dataset | webpage

A hybrid model to detect human skin. A new skin detection dataset (Pratheepan) is proposed.

sceneclass  

A Fuzzy Qualitative Approach for Scene Classification

C.H. Lim and C.S. Chan
FUZZ-IEEE, 2012 (Oral)
pdf

A preliminary study on natural scene classification using fuzzy qualitative reasoning approach.

fsm  

Fuzzy Set and Multi Descriptions Property

C.K. Lim and C.S. Chan
FUZZ-IEEE, 2012
pdf | poster

Study the multi descriptions property that received relatively small attentions in the fuzzy community.

bkt  

Logical Connectives and Operativeness of BK Sub-triangle Product in Fuzzy Inferencing

C.K. Lim and C.S. Chan
International Journal of Fuzzy Systems, 2011
pdf

Examine BK sub-triangle product for medical expert system.

complex  

Fuzzy Qualitative Complex Actions Recognition

C.S. Chan, H. Liu and W.K. Lai
FUZZ-IEEE, 2010 (Oral)

Complex action recognition using fuzzy qualitative reasoning. UIUC Action dataset is used for testing.

FQT  

Fuzzy Qualitative Human Motion Analysis

C.S. Chan and H. Liu
IEEE Transactions on Fuzzy Systems, 2009
pdf

Study human motion analysis with fuzzy qualitative reasoning. Within it, a data-quantization process is proposed to relax the computational complexity in particle filter tracking algoithm. Tested on KTH and Weizmann datasets.

FGMM  

GMM-QNT Hybrid Framework for Vision-based Human Motion Analysis

C.S. Chan and H. Liu
FUZZ-IEEE, 2009 (Oral)
pdf

A fusion between GMM-QNT for human motion analysis.

weix  

A Fuzzy Qualitative Approach to Human Motion Recognition

C.S. Chan, H. Liu, D.J. Brown and N. Kubota
FUZZ-IEEE, 2008 (Oral)
pdf

A preliminary study on fuzzy qualitative reasoning for human motion analysis.

handqnt  

Recognition of Human Motion From Qualitative Normalised Templates

C.S. Chan, H. Liu and D.J. Brown
Journal of Intelligent and Robotic Systems, 2007
pdf

To model human upper and lower limbs using qualitative normalised templates. Application in visual surveillance.

(most recent papers first)

Crowdcounting  

Granular-based Dense Crowd Density Estimation

V.J. Kok and C.S. Chan
Multedia Tools and Applications (in Press)
doi

Study crowd counting using the concept and principles of granular computing.

 
FDE  

Numerical Solutions of Fuzzy Differential Equations by an Efficient Runge-Kutta Method with Generalized Differentiability

A. Ahmadian, S. Salahshour, C.S. Chan and D. Baleanu
Fuzzy Sets and Systems, 2018
doi

Study an extended fourth-order Runge-Kutta method to approximate the solutions of first-order fuzzy differential equations using a generalized characterization theorem.

PlantNet  

How Deep Learning Extracts and Learns Leaf Features for Plant Classification

S.H. Lee, C.S. Chan, S. Mayo and P. Remagnino
Pattern Recognition, 2017
pdf | github | dataset | webpage

Study how deep learning can be used in plant classification. Two public leaf datasets - MalayaKew and Flavia are employed.

 
Crowd Segmentation  

GrCS: Granular Computing Based Crowd Segmentation

V.J. Kok and C.S. Chan
IEEE Transactions on Cybernetics, 2017
pdf | webpage

Study crowd segmentation using the concept and principles of granular computing.

FDS  

Fractional Differential Systems: A Fuzzy Solution based on Operational Matrix of Shifted Chebyshev Polynomials and its Applications

A. Ahmadian, S. Salahshour and C.S. Chan
IEEE Transactions on Fuzzy Systems, 2017
pdf

Introduce a suitable way to approximate a fuzzy solution for linear FFDEs. As applications, it can be used for fractional differential equation models under uncertainty encountered in engineering and physical phenomena (i.e., viscoelasticity, oscillations, and resistor-capacitor (RC) circuits).

early  

Early Detection of Human Actions - A Hybrid Approach

E. Vats and C.S. Chan
Applied Soft Computing, 2016
pdf

Study a classifer that is capable to recognize human action when only partial action sample is seen.

fqhm  

Fuzzy Qualitative Human Model for Viewpoint Identification

C.H. Lim and C.S. Chan
Neural Computing and Applications, 2016
pdf

A view-invariant human model based on Poisson and fuzzy qualitative reasoning.

crowdsurvey  

Crowd Behavior Analysis: A Review where Physics meets Biology

V.J. Kok, M.K. Lim and C.S. Chan
Neurocomputing, 2016
pdf

A crowd behavior analysis survey with 180 references.

ops  

Orthogonal Planar Search (OPS) for Coronary Artery Centerline Extraction

S. Tang and C.S. Chan
Signal, Image and Video Processing, 2016
pdf

Investigation of orthogonal planar search for coronary artery centerline extraction from computed tomography angiography.

zero  

Zero-Shot Object Recognition System based on Topic Model

W.L. Hoo and C.S. Chan
IEEE Transactions on Human-Machine Systems, 2015
pdf | webpage

Zero-shot learning based on topic model. Result on AwA Dataset = 49.65%.

fuzzyscene  

An Improved BK Sub-Triangle Product Approach for Scene Classification

E. Vats, C.K. Lim and C.S. Chan
Journal of Intelligent & Fuzzy Systems, 2015
pdf | webpage

A preliminary study on early human action recognition using fuzzy BK subproduct inference mechanism. Nominated as the Best Student Paper Award at FUZZ-IEEE 2015.

robot  

A Novel Multimodal Communication Framework using Robot Partner for Ageing Population

D. Tang, B. Yusuf, J. Botzheim, N. Kubota and C.S. Chan
Expert Systems with Applications, 2015
pdf

A new multimodal human-robot interaction framework to support elderly people in their daily life.

hmasurvey  

Fuzzy Human Motion Analysis: A Review

C.H. Lim*, E. Vats* and C.S. Chan (*indicates equal contribution)
Pattern Recognition, 2015
pdf

First fuzzy review paper in human motion analysis with 252 references.

interval  

A Weighted Inference Engine based on Interval-valued Fuzzy Relational Theory

C.K. Lim and C.S. Chan
Expert Systems with Applications, 2015
pdf

Study a high reliability inference engine that is rule-free, tolerate to uncertainty with interval-valued fuzzy sets and consider features weight. Tested on 3 publicly available medical data sets, i.e. Statlog Heart (Heart), Pima Indians Diabetes (Pima) and Wisconsin Diagnosis Breast Cancer (WDBC).

interval  

Color Video Denoising using Epitome and Sparse Coding

H.Y. Lee, W.L. Hoo and C.S. Chan
Expert Systems with Applications, 2015
pdf

An unified framework to solve video denoising.

unveil  

Scene Image is Non-Mutually Exclusive - A Fuzzy Qualitative Scene Understanding

C.H. Lim, A. Risnumawan and C.S. Chan
IEEE Transactions on Fuzzy Systems, 2014
pdf | github | webpage

Proposed fuzzy qualitative rank classifier to handle natural scene classification.

textedge  

A Robust Arbitrary Text Detection System for Natural Scene Images

A. Risnumawan, P. Shivakumara, C.S. Chan and C.L. Tan
Expert Systems with Applications, 2014
pdf | dataset

Curve text detection. A new dataset (CUTE80) is proposed.

mamo  

Refined Particle Swarm Optimisation Method for Abrupt Motion Tracking

M.K. Lim, C.S. Chan, D. Monekosso and P. Remagnino
Information Sciences, 2014
pdf | dataset | webpage

Abrupt motion tracking using PSO. A new tracking dataset (MAMo) is proposed.

ell  

Detection of Salient Regions in Crowded Scenes

M.K. Lim, C.S. Chan, D. Monekosso and P. Remagnino
Electronics Letters, 2014
pdf

Employed temporal variations in the flow field of a crowd scene to automatically detect salient regions.

skin  

A Fusion Approach for Efficient Human Skin Detection

W.R. Tan, C.S. Chan, Y. Pratheepan and J. Condell
IEEE Transactions on Industrial Informatics, 2012
pdf | dataset | webpage

A hybrid model to detect human skin. A new skin detection dataset (Pratheepan) is proposed.

bkt  

Logical Connectives and Operativeness of BK Sub-triangle Product in Fuzzy Inferencing

C.K. Lim and C.S. Chan
International Journal of Fuzzy Systems, 2011
pdf

Examine BK sub-triangle product for medical expert system.

FQT  

Fuzzy Qualitative Human Motion Analysis

C.S. Chan and H. Liu
IEEE Transactions on Fuzzy Systems, 2009
pdf

Study human motion analysis with fuzzy qualitative reasoning. Within it, a data-quantization process is proposed to relax the computational complexity in particle filter tracking algoithm. Tested on KTH and Weizmann datasets.

handqnt  

Recognition of Human Motion From Qualitative Normalised Templates

C.S. Chan, H. Liu and D.J. Brown
Journal of Intelligent and Robotic Systems, 2007
pdf

To model human upper and lower limbs using qualitative normalised templates. Application in visual surveillance.

(most recent papers first)

2017

 
Total-Text  

Total-Text: A Comprehensive Dataset for Scene Text Detection and Recognition

C.K. Ch'ng and C.S. Chan
ICDAR (Oral, Acceptance rate: 52/409 ~ 12.7%.), 2017
pdf | arXiv (extended ver.) | dataset

To facilitate a new text detection research, we introduce the Total-Text dataset, which is more comprehensive than the existing text datasets. Total-Text consists of 1555 images with more than 3 different text orientations, one of a kind.

ArtGan  

ArtGAN: Artwork Synthesis with Conditional Categorical GANs

W.R. Tan, C.S. Chan, H. Aguirre and K. Tanaka
ICIP, 2017
pdf | poster | dataset

Build a GANs to create realistic artwork. Wikiart dataset that consists of 80K artworks is used.

HGO  

HGO-CNN: Hybrid Generic-Organ Convolutional Neural Network for Multi-Organ Plant Classification

S.H. Lee, Y.L. Chang, C.S. Chan and P. Remagnino
ICIP, 2017
pdf | poster | github | webpage

Introduce a hybrid generic-organ CNN, which takes into account both organ and generic information for plant classification. State-of-the-art results in PlantClef2015 with Image-centered score = 0.69 and Observation score = 0.717.

philstm  

phi-LSTM: A Phrase-based Hierarchical LSTM Model for Image Captioning

Y.H. Tan and C.S. Chan
ACCV, 2016 (Acceptance rate: 143/590 ~ 24%)
pdf | arXiv (extended ver.) | poster

Build an image captioning system based on phrase.

fineart  

A Deep Convolutional Network for Fine-art Paintings Classification

W.R. Tan, C.S. Chan, H. Aguirre and K. Tanaka
ICIP, 2016
pdf | supp. material | poster | github | dataset

Preliminary study on artwork classification using AlexNet.

unveil  

Unveiling Contrast in Darkness

Y.P. Loh and C.S. Chan
ACPR, 2015
pdf | poster

Build a visual analytic model to unveil the ”hidden” contents in low-light (nightime) images. As application, it can be used for people detection at nighttime.

plant  

Deep-Plant: Plant Identification with Convolutional Neural Networks

S.H. Lee, C.S. Chan, P. Wilkin and P. Remagnino
ICIP, 2015 (Oral)
pdf | github | dataset | webpage

Study convolutional and deconvolutional network to understand plantation. A new leaf dataset (MalayaKew) is proposed.

crowdsaliency  

Crowd Saliency Detection via Global Similarity Structure

M.K. Lim*, V.J. Kok*, C.C. Loy and C.S. Chan (*indicates equal contribution)
ICPR, 2014 (Oral, Acceptance rate: 198/1409 ~ 14%.)
pdf | dataset | webpage

To identify and localize salient regions in a crowd scene, by transforming low-level features extracted from the crowd motion field into a global similarity structure.

randomf  

Enhanced Random Forest with Image/Patch-Level Learning for Image Understanding

W.L. Hoo, T-K. Kim, Y. Pei and C.S. Chan
ICPR, 2014 (Oral, Acceptance rate: 198/1409 ~ 14%.)
pdf | supp. material

Study discriminative RF codebook learning and generative classifier learning in image understanding. Tested on 15-scene (77.38%) and C-Pascal (85.29%) datasets.

plsa  

PLSA-based Zero-Shot Learning

W.L. Hoo and C.S. Chan
ICIP, 2013
pdf | poster | webpage

A novel approach of zero-shot learning. Tested on PubFig (54.35%), CIFAR-100 (54.85%) and Caltech-256 (51.49%) datasets with 2 unseen class.

inferencengine  

An Inference Engine Based on Interval Type-2 Fuzzy BK Subproduct

C.K. Lim and C.S. Chan
FUZZ-IEEE, 2013 (Oral)
pdf

Propose two enhancements on BK subproduct.

inferencengine  

Fuzzy Action Recognition for Multiple Views within Single Camera

C.H. Lim and C.S. Chan
FUZZ-IEEE, 2013 (Oral)
pdf

A framework to model human action from different viewpoints within a single camera.

abruptmva  

SwATrack: A Swarm Intelligence-based Abrupt Motion Tracker

M.K. Lim, C.S. Chan, D. Monekosso and P. Remagnino
MVA, 2013
pdf | webpage

A preliminary study on abrupt motion tracking with PSO.

cact  

A Neighbourhood Search Feedback for Coronary Artery Centerline Tracking

S.L. Tang and C.S. Chan
MVA, 2013
pdf | poster

A preliminary study on coronary artery centerline tracking.

sceneclass  

A Fuzzy Qualitative Approach for Scene Classification

C.H. Lim and C.S. Chan
FUZZ-IEEE, 2012 (Oral)
pdf

A preliminary study on natural scene classification using fuzzy qualitative reasoning approach.

fsm  

Fuzzy Set and Multi Descriptions Property

C.K. Lim and C.S. Chan
FUZZ-IEEE, 2012
pdf | poster

Study the multi descriptions property that received relatively small attentions in the fuzzy community.

complex  

Fuzzy Qualitative Complex Actions Recognition

C.S. Chan, H. Liu and W.K. Lai
FUZZ-IEEE, 2010 (Oral)

Complex action recognition using fuzzy qualitative reasoning. UIUC Action dataset is used for testing.

FGMM  

GMM-QNT Hybrid Framework for Vision-based Human Motion Analysis

C.S. Chan and H. Liu
FUZZ-IEEE, 2009 (Oral)
pdf

A fusion between GMM-QNT for human motion analysis.

weix  

A Fuzzy Qualitative Approach to Human Motion Recognition

C.S. Chan, H. Liu, D.J. Brown and N. Kubota
FUZZ-IEEE, 2008 (Oral)
pdf

A preliminary study on fuzzy qualitative reasoning for human motion analysis.

Human Motion Sensing and Recognition: A Fuzzy Qualitative Approach

Authors: H. Liu, Z. Ju, X. Ji, C.S. Chan and M. Khoury
Publisher: Springer-Verlag Berlin Heidelberg
doi | preface

Synopsis: It consists of 281 pages, focus on the latest progresses made on human motion sensing and recognition, including 2D and 3D vision-based human motion analysis, hand motion analysis and view-invariant motion recognition, from the perspective of Fuzzy Qualitative (FQ) techniques, which provide practical solutions by properly balancing the systems effectiveness and efficiency.

 

Members

Yang Loong Chang
Abhishek Jhawar
Yuen Peng
Ying Hua
Sue Han
Chee Kheng
Jia Huei
Chun Chet
Jian Han
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Alumni

Dr. Mei Kuan Lim 2012-17 Lecturer at Monash University (Sunway)
Dr. Sze Ling Tang 2012-17
Mujammil Ali Ali Sulthan 2016 Researcher at Gluerk Technologies
Dr. Ven Jyn Kok 2013-16 Senior Lecturer at National University of Malaysia (UKM)
Dr. Ali Ahmadian 2014-16 Associate Researcher at Universiti Putra Malaysia (UPM)
Dr. Wai Lam Hoo 2011-16 Senior Lecturer at University of Malaya (UM)
Dr. Ekta Vats 2013-16 Postdoctoral at Uppsala University, Sweden
Dr. Vembarasan Vaitheeswaran 2014-16 Assistant Professor at SSN College of Engineering, India
Anhar Risnumawan 2012-14 Lecturer at EEPIS, Indonesia
Dr. Chee Kau Lim 2011-14 Senior Lecturer at University of Malaya (UM)
Dr. Chern Hong Lim 2011-14 Senior Lecturer at TAR Universty College (TARUC)
Ravi Shekhar 2013-14
Wei Ren Tan 2011-13 Graduate Student at Shinshu University, Japan