A note on detection of sports action based on temporal cycle consistency learning

Tsuyoshi Masuda; Ren Togo; Takahiro Ogawa; Miki Haseyama

doi:10.1117/12.2590987

13 March 2021 A note on detection of sports action based on temporal cycle consistency learning

Tsuyoshi Masuda, Ren Togo, Takahiro Ogawa, Miki Haseyama

Proceedings Volume 11766, International Workshop on Advanced Imaging Technology (IWAIT) 2021; 117660P (2021) https://doi.org/10.1117/12.2590987
Event: International Workshop on Advanced Imaging Technology 2021 (IWAIT 2021), 2021, Online Only

Abstract

This paper presents a method for action detection based on Temporal Cycle Consistency(TCC) Learning. The proposed method realizes the action detection of flexible length segments based on a frame-level action prediction technique. We enable calculation of similarities for spatio-temporal features based on TCC to detect target actions from input videos. Finally, our method determines temporal segments by smoothing the frame-level action detection result. Experimental results show the validity of the proposed method.

Citation Download Citation

Tsuyoshi Masuda, Ren Togo, Takahiro Ogawa, and Miki Haseyama "A note on detection of sports action based on temporal cycle consistency learning", Proc. SPIE 11766, International Workshop on Advanced Imaging Technology (IWAIT) 2021, 117660P (13 March 2021); https://doi.org/10.1117/12.2590987

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