DocumentCode
1869475
Title
Tracking Ground Vehicles in Heavy-traffic Video by Grouping Tracks of Vehicle Corners
Author
Yang, Zuguang ; Meng, Huadong ; Wei, Yimin ; Zhang, Hao ; Wang, Xiqin
Author_Institution
Tsinghua Univ., Beijing
fYear
2007
fDate
Sept. 30 2007-Oct. 3 2007
Firstpage
396
Lastpage
399
Abstract
Tracking vehicles in heavy-traffic video is a challenging problem. It is hard for algorithms based on background extraction to work well. We propose an algorithm that does not need background information. In this algorithm, vehicle corners are detected and tracked, and then grouped into vehicles. Experiments show the effectiveness of the proposed algorithm under heavy congestion.
Keywords
feature extraction; traffic engineering computing; vehicles; video signal processing; background extraction; ground vehicles tracking; heavy-traffic video; vehicle corners; Automotive engineering; Clustering algorithms; Eigenvalues and eigenfunctions; Equalizers; Error correction; Intelligent transportation systems; Land vehicles; Merging; Road vehicles; Vehicle detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems Conference, 2007. ITSC 2007. IEEE
Conference_Location
Seattle, WA
Print_ISBN
978-1-4244-1396-6
Electronic_ISBN
978-1-4244-1396-6
Type
conf
DOI
10.1109/ITSC.2007.4357740
Filename
4357740
Link To Document