Abstract
Motion perception is one of the most important aspects of the biological visual system, from which people get a lot of information of the natural world. In this paper, trying to simulate the neurons in MT (motion area in visual cortex) which respond selectively both in direction and speed, the authors propose a novel multiplicative inhibitory velocity detector (MIVD) model, whose spatiotemporal joint parameterK determines its optimal velocity. Based on the Response Amplitude Disparity (RAD) property of MIVD, two multi-velocity fusion neural networks (a simple one and an active one) are built to detect the velocity of 1-Dimension motion. The experiments show that the active MIVD Neural Network with a feedback fusion method has a relatively better result.
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This research is partially supported by the Trans-Century Talents Foundation of the State Education Commission of China and the National Foundation for Outstanding Youth in Natural Science.
Wang Aiqun received the B.Sc degree and the Ph.D. degree both in electric and control engineering from the Xi’an Jiaotong University in 1992 and 1997, respectively. Her study fields include computer vision, image processing, signal processing, especially the early vision modeling. Besides participating several projects relative to computer vision and image processing, she also published several papers in this field.
Zheng Nanning received the M.Sc degree in information and control engineering from Xi’an Jiaotong University and the Ph.D in electric and computer science from Keio University of Japan in 1981 and 1985, respectively. From 1986 to 1990, he was an Associate Professor, Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, China. Since 1990 he has been a Professor of the Institute of Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, where he is currently the Director of the Institute of AI & Robotics.
His major current research interests include pattern recognition, computer vision and neural networks.
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Wang, A., Zheng, N. Multiplicative inhibitory velocity detector and multi-velocity motion detection neural network model. J. of Comput. Sci. & Technol. 13, 41–54 (1998). https://doi.org/10.1007/BF02946613
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DOI: https://doi.org/10.1007/BF02946613