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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:650 - 4 self
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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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