Target Identity-aware Network Flow for online multiple target tracking

@article{Dehghan2015TargetIN,
  title={Target Identity-aware Network Flow for online multiple target tracking},
  author={Afshin Dehghan and Yicong Tian and Philip H. S. Torr and Mubarak Shah},
  journal={2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2015},
  pages={1146-1154}
}
In this paper we show that multiple object tracking (MOT) can be formulated in a framework, where the detection and data-association are performed simultaneously. Our method allows us to overcome the confinements of data association based MOT approaches; where the performance is dependent on the object detection results provided at input level. At the core of our method lies structured learning which learns a model for each target and infers the best location of all targets simultaneously in a… CONTINUE READING
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