Person tracking-by-detection with efficient selection of part-detectors

Arne Schumann, Martin Bauml, Rainer Stiefelhagen
2013 2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance  
In this paper we introduce a new person tracking-bydetection approach based on a particle filter. We leverage detection and appearance cues and apply explicit occlusion reasoning. The approach samples efficiently from a large set of available person part-detectors in order to increase runtime performance while retaining accuracy. The tracking approach is evaluated and compared to the state of the art on the CAVIAR surveillance dataset as well as on a multimedia dataset consisting of six
more » ... of the TV series The Big Bang Theory. The results demonstrate the versatility of the approach on very different types of data and its robustness to camera movement and non-pedestrian body poses.
doi:10.1109/avss.2013.6636614 dblp:conf/avss/SchumannBS13 fatcat:sx3cl6swuvhclmraeyzcxoac2y