A Real-time Effective System for Tracking Passing People Using a Single Camera

被引：9

作者：

Ma, Honglian ^{[1
]}

Lu, Huchuan ^{[1
]}

Zhang, Mingxiu ^{[1
]}

机构：

[1] Dalian Univ Technol, Sch Elect & Informat Engn, Dalian 116023, Liaoning, Peoples R China

来源：

2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年

关键词：

Projection histogram; People detection; Multiple people segmentation; People tracking; People counting;

D O I：

10.1109/WCICA.2008.4592793

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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.

引用

页码：6173 / 6177

页数：5

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[3]

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