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Online multi-person tracking via robust collaborative model
2014
2014 IEEE International Conference on Image Processing (ICIP)
The past decade has witnessed significant progress in object detection and tracking in videos. In this paper, we present a model for collaboration between a pre-trained object detector and multiple single object trackers in the particle filter tracking framework. For each frame, we construct an association between the trackers and the detections, and when a tracker is successfully associated to a detection, we treat this detection as the key-sample for this tracker. We present a dual motion
doi:10.1109/icip.2014.7025086
dblp:conf/icip/NaielASWY14
fatcat:w3ewneqtoncg7b3gb5j4pnw45y