Peeking into the Future: Predicting Future Person Activities and Locations in Videos

CVPR, 2019.

Cited by: 43|Bibtex|Views164
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Deciphering human behaviors to predict their future paths/trajectories and what they would do from videos is important in many applications. Motivated by this idea, this paper studies predicting a pedestrianu0027s future path jointly with future activities. We propose an end-to-end, multi-task learning system utilizing rich visual feature...More
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