Tracking Persons-of-Interest via Unsupervised Representation Adaptation

International Journal of Computer Vision, pp. 96-120, 2020.

Cited by: 16|Views129
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Abstract:

Multi-face tracking in unconstrained videos is a challenging problem as faces of one person often can appear drastically different in multiple shots due to significant variations in scale, pose, expression, illumination, and make-up. Existing multi-target tracking methods often use low-level features which are not sufficiently discriminat...More

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