Title :
A real-time effective system for tracking passing people using a single camera
Author :
Ma, Honglian ; Lu, Huchuan ; Zhang, Mingxiu
Author_Institution :
Sch. of Electron. & Inf. Eng., Dalian Univ. of Technol., Dalian
Abstract :
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.
Keywords :
image matching; image segmentation; object detection; video signal processing; bidirectional projection histogram; computer vision; directional nearest neighbor matching; grayscale two-frame differencing image; multiple people segmentation; people detection; people tracking; single camera; video sequence analysis; Bidirectional control; Cameras; Computer vision; Detection algorithms; Gray-scale; Histograms; Image segmentation; Nearest neighbor searches; Real time systems; Video sequences; Multiple people segmentation; People counting; People detection; People tracking; Projection histogram;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4592793
