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Zhong
Zhang |
I am a
sixth year Ph.D. student at the Department of Computer Science and Engineering,
University of Texas at Arlington and expected to graduate 2013 spring. My advisor is Prof. Vassilis Athitsos who runs the Vision-Learning-Mining (VLM) Research
Lab. I am looking for full time positions in the areas related to
computer vision, pattern recognition and machine learning.
Resume [PDF]
Research
My main research interests
are Computer Vision, Machine Learning and Human Computer Interaction. Areas of focus
are: Hand Detection, Gesture Recognition and Fall Detection. A brief
description on the recent/ongoing projects I am working on can be found at the
following link:
Publication
Ph.D.
Thesis
“Human
Motion Analysis for American Sign Language Recognition and Assistive
Environments”
Department of Computer Science and
Engineering, University of Texas At Arlington, May
2015
[PDF]
2015
·
Zhong
Zhang,
Christopher Conly, and Vassilis Athitsos
A Survey on Vision-based Fall Detection
Conference Pervasive Technologies Related to Assistive Environments(PETRA), 2015
[PDF]
2014
·
Zhong
Zhang,
Christopher Conly, and Vassilis Athitsos
Evaluating Depth-Based
Computer Vision Methods for Fall Detection Under
Occlusions (Oral)
International Symposium on
Visual Computing (ISVC),
2014
[PDF]
·
Christopher
Conly, Zhong Zhang, and Vassilis
Athitsos
An Evaluation of RGB-D Skeleton Tracking for Use in Large
Vocabulary Complex Gesture Recognition
Conference Pervasive Technologies Related to Assistive Environments(PETRA), 2014
[PDF]
·
Zhong
Zhang,
Christopher Conly, and Vassilis Athitsos
Hand
Detection on Sign Language Videos
Conference Pervasive Technologies Related to Assistive Environments(PETRA), 2014
[PDF]
·
Weihua
Liu, Yangyu Fan, Tao Lei, and Zhong
Zhang
Human Gesture Recognition Using Orientation Segmentation
Feature on Random Forest (Oral)
Conference on Signal and Information Processing (ChinaSIP), 2014
[PDF]
2012
·
Zhong
Zhang,
Weihua Liu, Vangelis Metsis,
and Vassilis Athitsos.
Fall Detection Using a Single
Depth Camera and Automatic External Calibration(journal paper, in preparation).
·
Zhong
Zhang, Weihua Liu, Vangelis Metsis, and Vassilis Athitsos.
A Viewpoint-Independent
Statistical Method for Fall Detection
International Conference on
Pattern Recognition(ICPR), November 2012.
[PDF]
2011
·
Zhong
Zhang,
Rommel Alonzo, Vassilis Athitsos.
Experiments with computer
vision methods for hand detection.
Conference Pervasive
Technologies Related to Assistive Environments(PETRA), May 2011.
[PDF]
·
Jianhui Zhao, Zhong Zhang, Shizhong Han, Chengzhang Qu, Zhi-Yong Yuan, Dengyi Zhang.
SVM based forest fire
detection using static and dynamic features.
Computer Science and
Information Systems,
Novemember 2011.
[PDF]
2010
·
Zhong
Zhang, Eric
Becker, Roman Arora, Vassilis Athitsos.
Experiments with computer vision
methods for fall detection.
Conference on pervasive
Technologies Related to Assistive Environments(PETRA), June 2010.
[PDF]
2009
·
Dengyi
Zhang, Chengzhang Qu, Jianhui
Zhao, Zhong Zhang, Youwang ke, Shizhong Han, Mingqi Qiao, Huiyun
Zhang.
Extraction and Parameterization of Eye Contour from Monkey Face in
Monocular Image.
Lecture Notes in Electrical Engineering,
Vol. 56, 2009, Page(s): 182-189
·
Dengyi
Zhang, Shizhong Han, Jianhui
Zhao, Zhong Zhang, Chengzhang
Qu, Youwang Ke, Xiang Chen.
Image Based Forest Fire Detection Using
Dynamic Characteristics with Artificial Neural Networks.
International
Joint Conference on Artificial Intelligence(JCAI), 2009
[PDF]
2008
·
Zhong
Zhang, Jianhui Zhao, Dengyi Zhang, Chengzhang Qu, Youwang Ke, Bo Cai.
Contour
Based Forest Fire Detection Using FFT and Wavelet.
International
Conference on Computer Science and Software Engineering(CSSE),2008.
[PDF]
·
Dengyi
Zhang, Jinming Zhao, Jianhui
Zhao, Shizhong Han, Zhong Zhang, Chengzhang Qu, Youwang Ke
A
New Color-based Segmentation Method for Forest Fire from Video Image
International
Seminar on Future BioMedical Information Engineering,
2008
[PDF]
Others
A
Forest Fire Detection System: The Meleager Approach
[PDF]
A
New Approach for Flame Image Edges Detection
[PDF]
Classification
of Flame and Fire Images using Feed Forward Neural Network
[PDF]
Copyright
Protection for Fire Video Images using an Effective Watermarking Method
[PDF]
Efficiency
of HSV over RGB Gaussian Mixture Model for Fire Detection
[PDF]
Last modified: August 27,
2012