A Novel Gait Contours Segmentation Algorithm
Effective extraction of human area from human-body moving gait image sequences is of great concern to human-body moving gait recognition. A new segmentation algorithm was proposed, the concept of the time-domain was afresh defined, the inverse transformation of the wavelet was unnecessary. The two value result which was gained by combining background subtraction and symmetric frame difference performed moving estimation, it was the new method of time-domain segmentation; the first order wavelet transform was used to the current frame image, used high order linear interpolation to extend the LL weight of wavelet transformation as the same size as the current frame image, watershed segmentation algorithm was used to divide the LL weight image which was extended into many closed and nonoverlapping regions, it was space-domain segmentation; used spatio-temporal combination algorithm, marked the result of space-domain segmentation casting shadow to the result of timedomain segmentation, then gained the accurate area of human-body. The experiments were made on the NLPR gait database and the results proved that the algorithm can abstract the whole area of human-body precisely, owned the good robust noise and flexibility, and eventually improved the performance of gait recognition.
Gait Recognition Watershed Segmentation Wavelet Transform Spatio-Temporal Combination
Limei Huang Zhongyu Xu Fen Hu
Information Center Changchun Municipal Bureau of Land and Resources Changchun 130011,China College of Computer Science and Engineering Changchun University of Technology Changchun 130012,Chin
国际会议
长春
英文
410-413
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）