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25 October 2018 A fast human action recognition algorithm based on key frame pinning
Hai Tan, Yin Xu, Gangbo Sun, Bo Lei
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Proceedings Volume 10822, Real-time Photonic Measurements, Data Management, and Processing III; 108220U (2018) https://doi.org/10.1117/12.2502412
Event: SPIE/COS Photonics Asia, 2018, Beijing, China
Abstract
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.
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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); https://doi.org/10.1117/12.2502412
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KEYWORDS
Detection and tracking algorithms
Video
Data modeling
Neural networks
Cognition
Motion detection
Object recognition
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