Actions as space-time shapes

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Actions as space-time shapes (2005)

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by Lena Gorelick , Moshe Blank , Eli Shechtman , Michal Irani , Ronen Basri

Venue:	IN ICCV
Citations:	637 - 4 self

BibTeX

@INPROCEEDINGS{Gorelick05actionsas,
    author = {Lena Gorelick and Moshe Blank and Eli Shechtman and Michal Irani and Ronen Basri},
    title = {Actions as space-time shapes},
    booktitle = {IN ICCV},
    year = {2005},
    pages = {1395--1402},
    publisher = {}
}

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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 [14] 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 video.

Keyphrases

space-time shape action recognition poisson equation human action video sequence three-dimensional shape shape analysis action dynamic index term action representation volumetric space-time action shape articulated motion space-time volume partial occlusion many scenario significant change method utilizes property space-time analysis recent approach low quality video space-time feature local space-time saliency shape structure high irregularity non-rigid deformation video alignment

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