头肩视频中运动物体的自动精确提取技术

针对头肩视频序列,提出了一种头肩视频对象的自动精确提取算法.该算法运用改进的背景记录技术建立可靠的背景图像,结合背景差和帧差检测出运动物体区域;通过新的时域滤波器和后处理以增强检测结果的时域连贯性和空域完整性;最后提出一种改进的分水岭算法精确定位视频对象边缘.实验结果表明,文中算法能有效地提取出头肩视频对象以获得精确的边缘,且满足实时性要求.

Automatic and Accurate Moving Object Extraction Technique for Head-Shoulder Video Sequence

An automatic and accurate moving object extraction algorithm is proposed to segment headshoulder video sequence. First, an improved background registration technique is provided to construct a reliable background image. The moving object region is then detected by combining the background difference with the frame difference. Then, a new temporal filter and a post-processing step are applied on the detected change to improve the temporal coherence and spatial integrity. Finally, an improved watershed algorithm is proposed to locate the precise video object boundary, with significant reduction of computation compared to conventional watershed algorithm. Experimental results show that the proposed method can segment the head-shoulder video object, provide accurate object boundary and meet the real-time requirement.