id: 05295285
dt: a
an: 05295285
au: Wu, B.; Singh, V.K.; Kuo, C.-H.; Zhang, L.; Lee, S.C.; Nevatia, R.
ti: CLEAR’07 evaluation of USC human tracking system for surveillance videos.
so: Stiefelhagen, Rainer (ed.) et al., Multimodal technologies for perception
    of humans. International evaluation workshops CLEAR 2007 and RT 2007,
    Baltimore, MD, USA, May 8‒11, 2007. Revised selected papers. Berlin:
    Springer (ISBN 978-3-540-68584-5/pbk). Lecture Notes in Computer
    Science 4625, 191-196 (2008).
py: 2008
pu: Berlin: Springer
la: EN
cc: 
ut: 
ci: 
li: doi:10.1007/978-3-540-68585-2_16
ab: Summary: This paper presents the evaluation results of a system for
    tracking humans in surveillance videos. Moving blobs are detected based
    on adaptive background modeling. A shape based multi-view human
    detection system is used to find humans in moving regions. The detected
    responses are associated to infer the human trajectories. The shaped
    based human detection and tracking is further enhanced by a blob
    tracker to boost the performance on persons at a long distance from the
    camera. Multi-threading techniques are used to speedup the process.
    Results are given on the video test set of the CLEAR-VACE surveillance
    human tracking evaluation task.
rv: