SBGAR: Semantics Based Group Activity Recognition

ICCV 2017 Xin LiMooi Choo Chuah

Activity recognition has become an important function in many emerging computer vision applications e.g. automatic video surveillance system, human-computer interaction application, and video recommendation system, etc. In this paper, we propose a novel semantics based group activity recognition scheme, namely SBGAR, which achieves higher accuracy and efficiency than existing group activity recognition methods... (read more)

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