End-to-End Learning Deep CRF models for Multi-Object Tracking

29 Jul 2019Jun XiangMa ChaoGuohan XuJianhua Hou

Existing deep multi-object tracking (MOT) approaches first learn a deep representation to describe target objects and then associate detection results by optimizing a linear assignment problem. Despite demonstrated successes, it is challenging to discriminate target objects under mutual occlusion or to reduce identity switches in crowded scenes... (read more)

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