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25 October 2018 A fast human action recognition algorithm based on key frame pinning
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This paper proposed a fast human action recognition algorithm which utilized two features that can be described as iconic posture and fast moving. At first, a human detection algorithm is used to detect human object in every frame. Then regions marked as human are sent into a trained deep classification network to match trained iconic postures in key frame. Then several frames before key frame and after key frame are examined by frame differences, which are used to compensate background movement and perform human motion speed judgment. After the key frame pinning and speed judgment, the final recognition results are determined.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hai Tan, Yin Xu, Gangbo Sun, and Bo Lei "A fast human action recognition algorithm based on key frame pinning", Proc. SPIE 10822, Real-time Photonic Measurements, Data Management, and Processing III, 108220U (25 October 2018);

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