半导体光子学与技术, 2009, 15 (2): 81, 网络出版: 2011-08-19
Moving Target Tracking Based on LogGabor Wavelet and Mean-shift Algorithm
Moving Target Tracking Based on LogGabor Wavelet and Mean-shift Algorithm
摘要
Abstract
Tracking moving target from image or video sequence is a hot research topic in computer vision. An algorithm based on LogGabor wavelet and Mean-shift has been proposed for moving target tracking under fixed camera setting and complicated environment. Phase coherency of LogGabor wavelet facilitates to extract the edge of moving target and check noise. According to the edge detection, the starting location of Mean-shift can be estimated using the target center coordinate. Eventually, a real-time moving target can be extracted by doing iterative matching pursuit, and experimental results proved the effectiveness of the method proposed.
DU Xian-yan, HAN Xiao-jun, LU Wei-wei. Moving Target Tracking Based on LogGabor Wavelet and Mean-shift Algorithm[J]. 半导体光子学与技术, 2009, 15(2): 81. DU Xian-yan, HAN Xiao-jun, LU Wei-wei. Moving Target Tracking Based on LogGabor Wavelet and Mean-shift Algorithm[J]. Semiconductor Photonics and Technology, 2009, 15(2): 81.