Conference/Proceedings8th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS)
Start date30.08.2011
End date03.09.2011
AddressKlagenfurt, Austria
Author(s)Michael Pätzold and Thomas Sikora
TitleReal-time person counting by propagating networks flows
AbstractIn this paper we present a system that tracks multiple persons by detection
in real-time. We introduce a measure for similarity of detections which
segments significant information from background clutter by using
statistical information obtained during the learning phase of the detector.
In order to track multiple persons we map the detections into flow networks
utilizing this measure. A continuous real-time processing of video streams
is accomplished by analyzing only small chunks of detections consecutively
using different networks. By propagating the result of one network into the
subsequent one a temporal consistent association is achieved. The system
was evaluated using a standard video sequence with a crowded scene and an
own dataset containing very long sequences. The results demonstrate that
the system performs comparable to other systems while meeting real-time
Key wordsmultimedia analysis, multiple object tracking, person detection, network flows
NoteISBN: 978-1-4577-0844-2