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论文类型：会议论文

发表时间：2008-06-25

收录刊物：EI、CPCI-S、Scopus

页面范围：6173-6177

关键字：Projection histogram; People detection; Multiple people segmentation; People tracking; People counting

摘要：The detection and tracking of people is an important aspect in the video analysis and a popular topic in computer vision as well. This paper mainly discusses the detection and tracking of people in video sequences captured from a stationary camera. An effective people detection algorithm is proposed based on the bi-directional projection histogram of grayscale two-frame differencing image, proposing an effective method for multiple people segmentation. A simple applied method, called directional nearest neighbor matching, is developed for tracking people. Large numbers of experimental results on real video sequences from outdoor and indoor scenes have demonstrated the real-time performance (25-30 frames/s), a high accuracy for sparse crowd and robustness for environments change.