Multitarget Tracking of Pedestrians in Video Sequences Based on Particle Filters
Joint Authors
Li, Hui
Duan, Pengfei
Kong, Xiangzhen
Xiong, Shengwu
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-09
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Abstract EN
Video target tracking is a critical problem in the field of computer vision.
Particle filters have been proven to be very useful in target tracking for nonlinear and non-Gaussian estimation problems.
Although most existing algorithms are able to track targets well in controlled environments, it is often difficult to achieve automated and robust tracking of pedestrians in video sequences if there are various changes in target appearance or surrounding illumination.
To surmount these difficulties, this paper presents multitarget tracking of pedestrians in video sequences based on particle filters.
In order to improve the efficiency and accuracy of the detection, the algorithm firstly obtains target regions in training frames by combining the methods of background subtraction and Histogram of Oriented Gradient (HOG) and then establishes discriminative appearance model by generating patches and constructing codebooks using superpixel and Local Binary Pattern (LBP) features in those target regions.
During the process of tracking, the algorithm uses the similarity between candidates and codebooks as observation likelihood function and processes severe occlusion condition to prevent drift and loss phenomenon caused by target occlusion.
Experimental results demonstrate that our algorithm improves the tracking performance in complicated real scenarios.
American Psychological Association (APA)
Li, Hui& Xiong, Shengwu& Duan, Pengfei& Kong, Xiangzhen. 2012. Multitarget Tracking of Pedestrians in Video Sequences Based on Particle Filters. Advances in Multimedia،Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-464420
Modern Language Association (MLA)
Li, Hui…[et al.]. Multitarget Tracking of Pedestrians in Video Sequences Based on Particle Filters. Advances in Multimedia No. 2012 (2012), pp.1-14.
https://search.emarefa.net/detail/BIM-464420
American Medical Association (AMA)
Li, Hui& Xiong, Shengwu& Duan, Pengfei& Kong, Xiangzhen. Multitarget Tracking of Pedestrians in Video Sequences Based on Particle Filters. Advances in Multimedia. 2012. Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-464420
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-464420