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
fDate :
Sept. 30 2007-Oct. 3 2007
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;
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
DOI :
10.1109/ITSC.2007.4357740
