ABNORMAL GAIT RECOGNITION BASED ON RBF NEURAL NETWORK

摘要：

Gait, or manner of walking, is a very common behavior we can observe in everyday life. Analyzing human gait has found considerable interest in recent computer vision research. So far, however, contributions to this topic exclusively dealt with the tasks of person identification or activity recognition. Vision based gait analysis has not been used in aid of home care system or other surveillance application to detect abnormal cases since analysis is only done on normal types of walking. In this paper, we propose a simple but effective approach to abnormal gait analysis using computer vision techniques. After segmented the foreground object, we extracted the feature vector reflects the abnormal gait from the aspect ratio and achieved the abnormal gait recognition by RBF network. Experimental results show its promising performance.

关键词： Image Processing Abnormal Gait Recognition RBF Network.

作者: Bin HUANG Guohui TIAN Hao WU

作者单位: School of Control Science and engineering,Shandong University Jinan,shandong Province,China

会议类型: 国际会议

会议名称: 2008高等智能国际会议(2008 International Conference on Advanced Intelligence)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-18（万方平台首次上网日期，不代表论文的发表时间）