2008 | OriginalPaper | Buchkapitel
A Sketch-Based Approach for Detecting Common Human Actions
verfasst von : Evan A. Suma, Christopher Walton Sinclair, Justin Babbs, Richard Souvenir
Erschienen in: Advances in Visual Computing
Verlag: Springer Berlin Heidelberg
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We present a method for detecting common human actions in video, common to athletics and surveillance, using intuitive sketches and motion cues. The framework presented in this paper is an automated end-to-end system which (1) interprets the sketch input, (2) generates a query video based on motion cues, and (3) incorporates a new content-based action descriptor for matching. We apply our method to a publicly-available video repository of many common human actions and show that a video matching the concept of the sketch is generally returned in one of the top three query results.