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Collision and Event Detection using Geometric Features in Spatio-Temporal Volumes
The University of Victoria, Victoria, British Columbia, Canada May 09-May 11
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CRV.2005.26The 2nd Canadian Conference on Comput ...
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Mathieu Marquis Bolduc, Universit? de Sherbrooke, Canada
Fran?ois Desch?nes, Universit? de Sherbrooke, Canada
In video sequences, edges in 2D images (frames) produces 3D surface in the spatio-temporal volume. In this paper, we propose to consider temporal collisions between edges, and thus objects, as 3D ridges in the spatio-temporal volume. Collisions (i.e. ridge points) can be located using the maximum principal curvature and the principal curvature direction. Using the detected collisions, we then propose a technique to detect overlapping objects events in an image sequence, by neither computing depth or optical flow. We present successful experiments on real image sequences.
Index Terms:
Event detection, Collision detection, Occlusion edge, Spatio-temporal volume, Ridge, Curvature
Citation:
Mathieu Marquis Bolduc, Fran?ois Desch?nes, "Collision and Event Detection using Geometric Features in Spatio-Temporal Volumes," crv, pp.236-243, The 2nd Canadian Conference on Computer and Robot Vision (CRV'05), 2005
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