Tracking Vehicles in traffic Surveillance Video

Maire, M. ; Kamath, C.

Lawrence Livermore National Laboratory

关键词: Lawrence Livermore National Laboratory;    Vehicles;    Algorithms;    99 General And Miscellaneous//Mathematics, Computing, And Information Science;   

DOI  :  10.2172/878616
RP-ID  :  UCRL-TR-214595
RP-ID  :  W-7405-ENG-48
RP-ID  :  878616

美国|英语

来源: UNT Digital Library

【 摘 要 】

We present a system for detecting and tracking vehicles in surveillance video. Our algorithm uses a simple motion model to determine salient regions in a sequence of video frames. Similar regions are associated between frames and clustered to yield coherent final tracks. The entire process is automatic and uses computation time that scales according to the size of the input video sequence.