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ABSTRACT
In multi-camera video tracking, the tracking scene and tracking-target appearance can become complex. To finish multi-camera tracking in these challenging, we first utilize an improved brightness transfer function to establish matching tasks of different cameras and to reduce the influence of brightness changes between multiple cameras. Then, we proposes an improved colour-texture feature fusion (ICTFF) that is composed of the colour features and texture features for multi-camera human tracking in non-overlapping field of view. It’s the first time to use artificial immune random forest with fully exploit the linear combination information of the feature and colour feature that can achieving the optimization of the number of decision trees and the effective classification of the target feature. Compared with state-of-the-art algorithms, our ICTFF algorithm can significantly improve the tracking accuracy in some complex scenes, such as changing the speed, changing the direction and appearance of the target.
Disclosure statement
No potential conflict of interest was reported by the authors.
Notes on contributors
Mr Jian Liu is a Ph.D. candidate from Donghua University, Shanghai, China, principally engaged in the research of information fusion and image processing. He obtained her B.S. degree in Robotisation from Weifang University of Technology, Shandong, China in 2010, his M.S. degree from Donghua University, Shanghai, China in 2013. His scientific interests include machine vision, image processing, robot control, intelligent control and digitised textile technology.
Dr Kuangrong Hao is currently a professor at the College of Information Sciences and Technology, Donghua University, Shanghai, China. She obtained her B.S. degree in Mechanical Engineering from Hebei University of Technology, Tianjin, China in 1984, her M.S. degree from Ecole Normale Supérieur de Cachan, Paris, France in 1991, and her Ph.D. in Mathematics and Computer Science from Ecole Nationale des Ponts et Chaussées, Paris, France in 1995. She has published more than 100 technical papers, and three research monographs. Her scientific interests include machine vision, image processing, robot control, intelligent control and digitised textile technology.
Dr Yongsheng Ding (M’00-SM’05) is currently a professor at College of Information Sciences and Technology, Donghua University, Shanghai, China. He obtained the B.S. and Ph.D. degrees in Electrical Engineering from Donghua University, Shanghai, China in 1989 and 1998, respectively. From 1996 to 1998, he was a visiting scientist at Biomedical Engineering Center, The University of Texas Medical Branch, TX, USA. From February 2005 to April 2005, he was a visiting professor at Department of Electrical and Computer Engineering, Wayne State University, MI, USA. From September 2007 to February 2008, he was a visiting professor at Harvard Medical School, Harvard University, MA, USA. He serves as a senior member of Institute of Electrical and Electronics Engineers (IEEE). He has published more than 300 technical papers, and seven research monograph/advanced textbooks. His scientific interests include computational intelligence, network intelligence, nature-inspired technologies, intelligent robots, Internet of things, bio-informatics and digitised textile technology.
Mr Shiyu Yang received the B.S. degree from the College of Science, Donghua University, Shanghai, China, in 2012, where he is currently pursuing Ph.D in the School of Information Science & Technology. He was a joint Ph.D. Student with the Department of Electrical, Computer, and Biomedical Engineering, University of Rhode Island, Kingston, RI, USA, from 2015 to 2016. His current research interests include artificial intelligence, computer vision, machine learning, and image processing and recognition.
Dr Lei Gao is a senior research scientist at the Commonwealth Scientific and Industrial Research Organisation (CSIRO) in Australia. Dr. Gao was awarded his BS and PhD degrees in Electrical Engineering from Donghua University, Shanghai, China, in 2001 and 2006, respectively. He has 85 research articles published in high-impact journals, international conferences and book chapters. His scientific interests include complex systems modelling, robust decision-making, intelligent decision support systems and metaheuristics algorithms.