Accumulated micro-motion representations for lightweight online action detection in real-time

Liu, Yu; Yang, Fan; Ginhac, Dominique

doi:10.1016/j.jvcir.2023.103879

Journal of Visual Communication and Image Representation

2023

DOI: 10.1016/j.jvcir.2023.103879

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Accumulated micro-motion representations for lightweight online action detection in real-time

Yu Liu,

Fan Yang,

Dominique Ginhac

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2024

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Cited by 2 publications

References 29 publications

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TQRFormer: Tubelet query recollection transformer for action detection

Wang,

Yang,

Ding

et al. 2024

Image and Vision Computing

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TQRFormer: Tubelet query recollection transformer for action detection

Wang,

Yang,

Ding

et al. 2024

Image and Vision Computing

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A survey on deep learning-based spatio-temporal action detection

Wang,

Zeng,

Qian

2024

Int. J. Wavelets Multiresolut Inf. Process.

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Spatio-temporal action detection (STAD) aims to classify the actions present in a video and localize them in space and time. It has become a particularly active area of research in computer vision because of its explosively emerging real-world applications, such as autonomous driving, visual surveillance and entertainment. Many efforts have been devoted in recent years to build a robust and effective framework for STAD. This paper provides a comprehensive review of the state-of-the-art deep learning-based methods for STAD. First, a taxonomy is developed to organize these methods. Next, the linking algorithms, which aim to associate the frame- or clip-level detection results together to form action tubes, are reviewed. Then, the commonly used benchmark datasets and evaluation metrics are introduced, and the performance of state-of-the-art models is compared. At last, this paper is concluded, and a set of potential research directions of STAD are discussed.

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Accumulated micro-motion representations for lightweight online action detection in real-time

Cited by 2 publications

References 29 publications

TQRFormer: Tubelet query recollection transformer for action detection

TQRFormer: Tubelet query recollection transformer for action detection

A survey on deep learning-based spatio-temporal action detection

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