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Action recognition in real-world videos

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arxiv 2004.10774 v1 pith:NDH7K4UQ submitted 2020-04-22 cs.CV eess.IV

Action recognition in real-world videos

classification cs.CV eess.IV
keywords actiondetectionhumanlocalizationrecognitionreferredvideoactivity
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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The goal of human action recognition is to temporally or spatially localize the human action of interest in video sequences. Temporal localization (i.e. indicating the start and end frames of the action in a video) is referred to as frame-level detection. Spatial localization, which is more challenging, means to identify the pixels within each action frame that correspond to the action. This setting is usually referred to as pixel-level detection. In this chapter, we are using action, activity, event interchangeably.

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