Human detection based on motion object extraction and head-shoulder feature

详细信息    查看全文

• 作者：Qing Ye ; Rentao Gu ; Yuefeng Ji
• 关键词：Human detection and statistics ; Motion object extraction ; Head&ndash ; shoulder feature ; Background subtraction ; Object discrimination algorithm
• 刊名：Optik - International Journal for Light and Electron Optics
• 出版年：2013
• 出版时间：October, 2013
• 年：2013
• 卷：124
• 期：19
• 页码：3880-3885
• 全文大小：780 K

文摘

Aimed at the shortcomings of the traditional video monitoring system, human detection method in intelligent video monitoring system was researched. This paper proposed a human detection method based on motion object extraction and head-shoulder feature to complete human detection and statistics in video image sequences. Firstly, background subtraction based on adaptive threshold was used to extract foreground moving object information, then image erosion and image dilation were used to bypass the object shade and remove false object in order to optimize the results of motion object extraction. And finally, for realizing human moving object detection, we proposed the object discrimination algorithm based on human head-shoulder feature to complete human detection and statistics. Experimental results show that the method can successfully realize human detection and statistics. The method is highly accurate and has good real-time and extensive applications. The identification rate is 86 % through human video sequences to test. This method can detect human automatically and provide the theoretical and technological base for object detection in the intelligent surveillance system.