Project Leader

Vision Statement

To conduct world-leading research in the fields of video analysis, video content management, video communication and related multimedia applications

Biography

Dr. Zhang is currently working with National ICT Australia (NICTA) as a principal researcher, project leader and a conjoint associate professor with School of Computer Science and Engineering, University of New South Wales. Dr Zhang is a research leader in area of Multimedia and Video Communications (MMVC) at at NICTA Neville Roach Lab in Sydney, Australia. Apart from more than 70 paper publications and authored book chapters as his research output, he also holds more than ten patents filed in US, UK, Japan and Australia including five issued US patents. He served as Associate Editor of IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), Associate Editor of EURASIP International Journal of Image and Video Processing and the Co-Guest Editor of the T-CSVT for Special Issue of the Convergence of Knowledge Engineering Semantics and Signal Processing in Audiovisual Information Retrieval. Dr. Zhang is taking initiative for the proposal of hosting IEEE Multimedia Signal Processing Workshop in 2008. 

Dr. Zhang leads two of NICTA research projects in the areas of image and video processing, video surveillance and multimedia content management. He is a senior member of the IEEE Signal Processing Society. 

In 1997, Dr. Zhang joined the Visual Information Processing Lab, Motorola Labs in Sydney as a senior research engineer and later became a principal research engineer, and a team leader of Visual Communications Research Team. While at Motorola labs, he had been working on diverse research projects including image processing, video coding and communication, image segmentation and multimedia content adaptation etc. 

Dr Zhang was awarded a Bachelor of Science in Electronic Engineering from East Normal University, China in 1982; a Masters of Science in Computer Science from Flinders University, South Australia in 1994; and a PhD in Electrical Engineering from the University of New South Wales, Australia in 1997.   

Publications

Book Chapters

J. Zhang, "Error Resilience for Video Coding Service", Chapter 18 in Digital Video C, edited by H.R.Wu and K.R.Rao, CRC Press 2006. 

Selected Publications

[1]  S. Paisitkriangkrai, C. Shen and J. Zhang “Pedestrian classification using a cascade of boosted covariance features,” Accepted by Special Issue on Video Surveillance of IEEE Transactions on Circuits and Systems for Video Technology, August, 2008

[2]  Y. Wang, “Real-Time moving vehicle detection with cast shadow removal in video based on conditional random field,” accepted as a short paper by Special Issue on Video Surveillance of IEEE Transactions on Circuits and Systems for Video Technology, August, 2008

[3]  S. Paisitkriangkrai, C. Shen and J. Zhang, “Fast Pedestrian Detection using multiple layer boosting,” Accepted by The Eighth International Workshop on Visual Surveillance (VS2008) in conjunction with 2008 European Conference on Computer Vision

[4]  Z, Li and J. Chen, “An Improved Mean-Shift Tracker with Kernel Prediction and Scale Optimisation Targeting for Low-Frame-Rate Video Tracking”, Accepted by IEEE International Conference on Pattern Recognition 2008

[5]  Yang Wang, “Joint Random Fields for Moving Vehicle Detection,” Accepted by British Machine Vision Conference 2008

[6]  J. Xu, G. Ye, G. Herman, B Zhang,”An Efficient Approach to Detecting Pedestrians in Video”, Accepted as a short paper by ACM International Conference on Multimedia 2008

[7]  G. Herman, G. Ye, J. Xu & B. Zhang, “Improving Object Detection by Pruning Noisy Samples from Training Sets,” Accepted by ACM International Conference on Multimedia Information Retrieval 2008

[8]  J. Xu, G. Ye, G. Herman, B Zhang, “Detecting and Recognizing Moving Pedestrians in Video,” Accepted by IEEE Workshop on Multimedia Signal Processing, 2008

[9]  C. Luo, X. Cai, J. Zhang, “Robust Object Tracking Using the Particle Filtering and Level Set Method: A Comparative Experiment”, Accepted by IEEE Workshop on Multimedia Signal Processing, 2008

[10]  Z. Li, J. Chen, A. Chong, Z. Yu, N. Schraudolph., “Using Stochastic Gradient-Descent Scheme in Appearance Model Based Face Tracking”, Accepted by IEEE Workshop on Multimedia Signal Processing, 2008

[11]  Sijun Lu, Jian Zhang, David Feng, “Detecting Unattended Packages through Human Activity Recognition and Object Association”, the Journal of Pattern Recognition, Volume 40, Number 8, August 2007

[12]  P. Janney and J. Yu, “Invariant Feature of Local Texture – a rotation invariant local texture descriptor”, Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Minneapolis(USA), June 17-22,  2007

[13]  Sijun Lu, Jian Zhang, David Feng, “An Efficient Method for Detecting Ghost and Left Objects in Surveillance Video”, IEEE International Conference on Advanced Video and Signal based Surveillance, September 2007

[14]  Y. Wang, “Foreground and shadow detection based on conditional random field,” Proc. Int’l Conf. Computer Analysis of Images and Patterns (CAIP), 2007.

[15]  Sijun Lu, Jian Zhang, David Feng, “A Knowledge-based Approach for Detecting Unattended Packages in Surveillance Video”, IEEE International Conference on Advanced Video and Signal based Surveillance, November 2006

[16]  R. Mathew and D. S. Taubman, “Motion modeling with geometry and quad-tree leaf merging”, Proc. IEEE International Conference on Image Processing, pp. 297-300, September 2007

[17]  R. Mathew and D. S. Taubman, “Hierarchical and polynomial motion modeling with quad-tree leaf merging”, Proc. IEEE International Conference on Image Processing, pp. 1881-1884, October 2006

[18]  Sijun Lu, Jian Zhang, David Feng, “Detecting Unattended Packages through Human Activity Recognition and Object Association”, Asia-Pacific Workshop on Visual Information Processing, (Best Paper Award), December 2005

Best Paper Award