Actions as space-time shapes
Top Cited Papers
- 1 January 2005
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 2 (15505499) , 1395
- https://doi.org/10.1109/iccv.2005.28
Abstract
Human action in video sequences can be seen as silhouettes of a moving torso and protruding limbs undergoing articulated motion. We regard human actions as three-dimensional shapes induced by the silhouettes in the space-time volume. We adopt a recent approach by Gorelick et al. (2004) for analyzing 2D shapes and generalize it to deal with volumetric space-time action shapes. Our method utilizes properties of the solution to the Poisson equation to extract space-time features such as local space-time saliency, action dynamics, shape structure and orientation. We show that these features are useful for action recognition, detection and clustering. The method is fast, does not require video alignment and is applicable in (but not limited to) many scenarios where the background is known. Moreover, we demonstrate the robustness of our method to partial occlusions, non-rigid deformations, significant changes in scale and viewpoint, high irregularities in the performance of an action and low quality videoKeywords
This publication has 14 references indexed in Scilit:
- Event-based analysis of videoPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Space-Time Behavior Based CorrelationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- A survey of content based 3D shape retrieval methodsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Explaining optical flow events with parameterized spatio-temporal modelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Space-time interest pointsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Cardboard people: a parameterized model of articulated image motionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Shape matching and object recognition using shape contextsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- The recognition of human movement using temporal templatesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2001
- Recognition by Functional PartsComputer Vision and Image Understanding, 1995
- Analyzing and recognizing walking figures in XYTPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1994