Collision and Event Detection using Geometric Features in Spatio-Temporal Volumes

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	Similar Articles Articles by Mathieu Marquis Bolduc Articles by Fran?ois Desch?nes

The 2nd Canadian Conference on Computer and Robot Vision (CRV'05)

The University of Victoria, Victoria, British Columbia, Canada

May 09-May 11

ISBN: 0-7695-2319-6

	ASCII Text	x
	Mathieu Marquis Bolduc, Fran?ois Desch?nes, "Collision and Event Detection using Geometric Features in Spatio-Temporal Volumes," Computer and Robot Vision, Canadian Conference, pp. 236-243, The 2nd Canadian Conference on Computer and Robot Vision (CRV'05), 2005.

	BibTex	x
	@article{ 10.1109/CRV.2005.26, author = {Mathieu Marquis Bolduc and Fran?ois Desch?nes}, title = {Collision and Event Detection using Geometric Features in Spatio-Temporal Volumes}, journal ={Computer and Robot Vision, Canadian Conference}, volume = {0}, year = {2005}, isbn = {0-7695-2319-6}, pages = {236-243}, doi = {http://doi.ieeecomputersociety.org/10.1109/CRV.2005.26}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer and Robot Vision, Canadian Conference TI - Collision and Event Detection using Geometric Features in Spatio-Temporal Volumes SN - 0-7695-2319-6 SP236 EP243 A1 - Mathieu Marquis Bolduc, A1 - Fran?ois Desch?nes, PY - 2005 KW - Event detection KW - Collision detection KW - Occlusion edge KW - Spatio-temporal volume KW - Ridge KW - Curvature VL - 0 JA - Computer and Robot Vision, Canadian Conference ER -

Mathieu Marquis Bolduc, Universit? de Sherbrooke, Canada

Fran?ois Desch?nes, Universit? de Sherbrooke, Canada

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CRV.2005.26

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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