Spatio-temporal Action Recognition: A Survey
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Abstract (arXiv)
The task of action recognition or action detection involves analyzing videos and determining what action or motion is being performed. The primary subject of these videos are predominantly humans performing some action. However, this requirement can be relaxed to generalize over other subjects such as animals or robots. The applications can range from anywhere between human-computer inter-action to automated video editing proposals. When we consider spatiotemporal action recognition, we deal with action localization. This task not only involves determining what action is being performed but also when and where itis being performed in said video. This paper aims to survey the plethora of approaches and algorithms attempted to solve this task, give a comprehensive comparison between them, explore various datasets available for the problem, and determine the most promising approaches.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 Jan 2019.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 3.
5 papers.
- 2023A Survey on Deep Learning-based Spatio-temporal Action Detectioncited by 5
- 2021Rethinking Generalization Performance of Surgical Phase Recognition with Expert-Generated Annotationscited by 0
- 2024Multi-model learning by sequential reading of untrimmed videos for action recognitioncited by 0
- 2024Query matching for spatio-temporal action detection with query-based object detectorcited by 0
- 2024Human Stone Toolmaking Action Grammar (HSTAG): A Challenging Benchmark for Fine-grained Motor Behavior Recognitioncited by 0
- 2024Human Stone Toolmaking Action Grammar (HSTAG): A Challenging Benchmark for Fine-grained Motor Behavior Recognition10 Oct 2024
- 2024Query matching for spatio-temporal action detection with query-based object detector27 Sep 2024
- 2024Multi-model learning by sequential reading of untrimmed videos for action recognition26 Jan 2024
- 2023A Survey on Deep Learning-based Spatio-temporal Action Detection3 Aug 2023
- 2021Rethinking Generalization Performance of Surgical Phase Recognition with Expert-Generated Annotations22 Oct 2021