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People counting is a topic with various practical applications. Over the last decade, two general approaches have been proposed to tackle this problem: a) counting based on individual human detection; b) counting by measuring regression relation between the crowd density and number of people. Because the regression based method can avoid explicit people detection which faces several well-known challenges, it has been considered as a robust method particularly on a complicated environment. An efficient regression based method is presented in this talk, which can be well adopted into any existing video surveillance system. It adopts color based segmentation to extract foreground regions in images. Regression is established based on the foreground density and the number of people. This method is fast and can deal with lighting condition changes. Experiments on public datasets and one captured dataset have shown the effectiveness and robustness of the method.

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Jian Zhang received the B.Sc. degree from East Normal University, China in 1982; the M.Sc. degree in Computer Science from Flinders University, Australia in 1994; and the Ph.D. degree in Electrical Engineering from the University of New South Wales, Australia in 1999. From 1997 to 2003, A/Prof. Zhang was with the Visual Information Processing Laboratory, Motorola Labs, Sydney, as a Senior Research Engineer, and later became a Principal Research Engineer and a Foundation Manager with the Visual Communications Research Team. From 2004 to July 2011, he was a Principal Researcher and a Project Leader with National ICT Australia, Sydney, and a Conjoint Associate Professor with the School of Computer Science and Engineering, UNSW. He is currently an Associate Professor with the Advanced Analytics Institute, School of software, Faculty of Engineering and Information Technology, University of Technology, Sydney. A/Prof Zhang’s research interests include multimedia signal processing, computer vision, pattern recognition, visual information mining, human-computer interaction and intelligent video surveillance systems. Apart from more than 100 paper publications, book chapters, patents and technical reports from his research output, he was co-author of more than ten patents filed in US, UK, Japan and Australia including six issued US patents. Dr. Zhang is an IEEE Senior Member, Associated Editors for IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT) and EURASIP Journal on Image and Video Processing. As a general co-chair, he has hosted the 2012 IEEE International Conference on Multimedia and Expo in Melbourne, Australia. As a Technical Program Co-chair, he chaired the IEEE International Workshop on Multimedia Signal Processing (MMSP) 2008 and IEEE Visual Communications and Image Processing (VCIP), 2014.

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