Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers

CVPR 2019 Zhen HeJian LiDaxue LiuHangen HeDavid Barber

Online Multi-Object Tracking (MOT) from videos is a challenging computer vision task which has been extensively studied for decades. Most of the existing MOT algorithms are based on the Tracking-by-Detection (TBD) paradigm combined with popular machine learning approaches which largely reduce the human effort to tune algorithm parameters... (read more)

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