Abstract:
Reliable people counting and human detection is an important problem in visual surveillance. In recent years, the field has seen many advances, but the solutions have res...Show MoreMetadata
Abstract:
Reliable people counting and human detection is an important problem in visual surveillance. In recent years, the field has seen many advances, but the solutions have restrictions: people must be moving, the background must be simple, and the image resolution must be high. This paper aims to develop an effective method for estimating the number of people and locate each individual in a low resolution image with complicated scenes. The contribution of this paper is threefold. First, postprocessing steps are performed on background subtraction results to estimate the number of people in a complicated scene, which includes people who are moving only slightly. Second, an Expectation Maximization (EM)-based method has been developed to locate individuals in a low resolution scene. In this method, a new cluster model is used to represent each person in the scene. The method does not require a very accurate foreground contour. Third, the number of people is used as a priori for locating individuals based on feature points. Hence, the methods for estimating the number of people and for locating individuals are connected. The developed methods have been validated based on a 4-hour video, with the number of people in the scene ranging from 36 to 222. The best result for estimating the number of people has an average error of 10% over 51 test cases. Based on the estimated number of people, some results of the EM-based method have also been shown.
Published in: IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans ( Volume: 41, Issue: 1, January 2011)
Industrial Automation Research Laboratory Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China
Ya-Li Hou (S'09) received the B.Eng. degree in electronic engineering and information science from the University of Science and Technology of China, Hefei, China, in 2004, and the Master degree from the Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China, in 2007. She is currently working toward the Ph.D. degree in the Department of Electrical and Electronic Engineering, The University o...Show More
Ya-Li Hou (S'09) received the B.Eng. degree in electronic engineering and information science from the University of Science and Technology of China, Hefei, China, in 2004, and the Master degree from the Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China, in 2007. She is currently working toward the Ph.D. degree in the Department of Electrical and Electronic Engineering, The University o...View more
Industrial Automation Research Laboratory Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China
Grantham K. H. Pang (S'84–M'86–SM'01) received the Ph.D. degree from the University of Cambridge, Cambridge, U.K., in 1986.
He was with the Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada, from 1986 to 1996. Currently, he is an Associate Professor in the Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong. He has published more than 160...Show More
Grantham K. H. Pang (S'84–M'86–SM'01) received the Ph.D. degree from the University of Cambridge, Cambridge, U.K., in 1986.
He was with the Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada, from 1986 to 1996. Currently, he is an Associate Professor in the Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong. He has published more than 160...View more
Contents Industrial Automation Research Laboratory Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China
Ya-Li Hou (S'09) received the B.Eng. degree in electronic engineering and information science from the University of Science and Technology of China, Hefei, China, in 2004, and the Master degree from the Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China, in 2007. She is currently working toward the Ph.D. degree in the Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong.
Her current research interests include visual surveillance, pattern recognition, and computer vision.
Ya-Li Hou (S'09) received the B.Eng. degree in electronic engineering and information science from the University of Science and Technology of China, Hefei, China, in 2004, and the Master degree from the Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China, in 2007. She is currently working toward the Ph.D. degree in the Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong.
Her current research interests include visual surveillance, pattern recognition, and computer vision.View more
Industrial Automation Research Laboratory Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China
Grantham K. H. Pang (S'84–M'86–SM'01) received the Ph.D. degree from the University of Cambridge, Cambridge, U.K., in 1986.
He was with the Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada, from 1986 to 1996. Currently, he is an Associate Professor in the Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong. He has published more than 160 technical papers and has authored or coauthored six books. He has also obtained five U.S. patents. His research interests include machine vision for surface defect detection, optical communications, expert systems for control system design, intelligent control, and intelligent transportation systems. He acts as consultant to a number of local and international companies, and has served as expert witness for the Courts of the Hong Kong Special Administrative Region.
Grantham K. H. Pang (S'84–M'86–SM'01) received the Ph.D. degree from the University of Cambridge, Cambridge, U.K., in 1986.
He was with the Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada, from 1986 to 1996. Currently, he is an Associate Professor in the Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong. He has published more than 160 technical papers and has authored or coauthored six books. He has also obtained five U.S. patents. His research interests include machine vision for surface defect detection, optical communications, expert systems for control system design, intelligent control, and intelligent transportation systems. He acts as consultant to a number of local and international companies, and has served as expert witness for the Courts of the Hong Kong Special Administrative Region.View more
