Velocity Adaptation of Space-Time Interest Points

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Velocity Adaptation of Space-Time Interest Points
The notion of local features in space-time has recently been proposed to capture and describe local events in video. When computing space-time descriptors, however, the result may strongly depend on the relative motion between the object and the camera. To compensate for this variation, we present a method that automatically adapts the features to the local velocity of the image pattern and, hence, results in a video representation that is stable with respect to different amounts of camera motion. Experimentally we show that the use of velocity adaptation substantially increases the repeatability of interest points as well as the stability of their associated descriptors. Moreover, for an application to human action recognition we demonstrate how velocityadapted features enable recognition of human actions in situations with unknown camera motion and complex, nonstationary backgrounds.
Ivan Laptev, Tony Lindeberg
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2004
Where ICPR
Authors Ivan Laptev, Tony Lindeberg
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