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Person tracking-by-detection with efficient selection of part-detectors
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 sixdoi:10.1109/avss.2013.6636614 dblp:conf/avss/SchumannBS13 fatcat:sx3cl6swuvhclmraeyzcxoac2y