DocumentCode :
2753490
Title :
A preprocessing method for tracking and counting pedestrians in bus video monitor
Author :
Xin, Ying ; Sun, Guangmin ; Wu, Qiang
Author_Institution :
Coll. of Electron. & Control Eng., Beijing Univ. of Technol., Beijing
fYear :
2008
fDate :
13-16 July 2008
Firstpage :
1689
Lastpage :
1693
Abstract :
This paper presents a preprocessing method for pedestrians tracking and counting in sequences of grayscale images acquired by a stationary camera on the bus. The objective is to integrate this technology with a traffic control application such as bus carrier traffic statistics at every station. The proposed method can also be used to detect and track humans who will get on or get off the bus. Furthermore, the proposed approach can be employed for the multi-object detection. Among these tasks, object segmentation and labeling are perhaps the most important problem in single image processing. So the aim of the paper is to present the key technologies of object segmentation and labeling for the tracking in video sequences taken.
Keywords :
cameras; image sequences; object detection; tracking; video signal processing; bus carrier traffic statistics; bus video monitor; grayscale image sequence; multiobject detection; object segmentation; preprocessing method; tracking-counting pedestrians; traffic control application; video sequences; Cameras; Gray-scale; Humans; Image processing; Labeling; Monitoring; Object segmentation; Paper technology; Statistics; Traffic control; connect-component label; image segmentations; threshold;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Informatics, 2008. INDIN 2008. 6th IEEE International Conference on
Conference_Location :
Daejeon
ISSN :
1935-4576
Print_ISBN :
978-1-4244-2170-1
Electronic_ISBN :
1935-4576
Type :
conf
DOI :
10.1109/INDIN.2008.4618375
Filename :
4618375
Link To Document :
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