: 2017年5月2日（周二）上午10点
: 延长校区行健楼1018室
讲座: 计算机视觉中的高密度人群统计
Associate Prof. Jian Zhang，悉尼科技大学（UTS）
讲座摘要：
Counting pedestrians and measuring crowd density play an essential role for crowd monitoring applications including physical security, public space management, and retail space design. This report first begins with a literature review of crowd counting algorithms: including traditional hand-crafted feature based methods to the newly emerging deep learning based crowd counting methods. There are mainly two challenges for crowd counting task: (i) down-sampled output using a convolutional neural network (CNN) due to the existence of consecutive pooling layers, and (ii) the drastic scale variation of pedestrians in crowded images. To address these two problem, we present a novel deep learning framework for crowd counting by learning a perspective-embedded deconvolution network. Through layer-wise fusion, perspective pyramid are merged into the deconvolution network, driving the network to learn to combine the underlying scene geometric constraints adaptively and obtain more accurate interpretation from high-level feature maps to the pixel-wise crowd density map.
演讲者简介：
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 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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