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CVPR
2010
IEEE

Efficient Action Spotting based on a Spacetime Oriented Structure Representation

9 years 7 months ago
Efficient Action Spotting based on a Spacetime Oriented Structure Representation
This paper addresses action spotting, the spatiotemporal detection and localization of human actions in video. A novel compact local descriptor of video dynamics in the context of action spotting is introduced based on visual spacetime oriented energy measurements. This descriptor is efficiently computed directly from raw image intensity data and thereby forgoes the problems typically associated with flow-based features. An important aspect of the descriptor is that it allows for the comparison of the underlying dynamics of two spacetime video segments irrespective of spatial appearance, such as differences induced by clothing, and with robustness to clutter. An associated similarity measure is introduced that admits efficient exhaustive search for an action template across candidate video sequences. Empirical evaluation of the approach on a set of challenging natural videos suggests its efficacy.
Konstantinos Derpanis, Mikhail Sizintsev, Kevin Ca
Added 08 Apr 2010
Updated 14 May 2010
Type Conference
Year 2010
Where CVPR
Authors Konstantinos Derpanis, Mikhail Sizintsev, Kevin Cannons, Richard Wildes
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