Activity Representation Using 3D Shape Models

<p>Abstract</p> <p>We present a method for characterizing human activities using 3D deformable shape models. The motion trajectories of points extracted from objects involved in the activity are used to build models for each activity, and these models are used for classification an...

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Main Authors: Roy-Chowdhury AmitK, Akdemir Umut, Abdelkader MohamedF, Chellappa Rama
Format: Article
Language:English
Published: SpringerOpen 2008-01-01
Series:EURASIP Journal on Image and Video Processing
Online Access:http://jivp.eurasipjournals.com/content/2008/347050
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author Roy-Chowdhury AmitK
Akdemir Umut
Abdelkader MohamedF
Chellappa Rama
author_facet Roy-Chowdhury AmitK
Akdemir Umut
Abdelkader MohamedF
Chellappa Rama
author_sort Roy-Chowdhury AmitK
collection DOAJ
description <p>Abstract</p> <p>We present a method for characterizing human activities using 3D deformable shape models. The motion trajectories of points extracted from objects involved in the activity are used to build models for each activity, and these models are used for classification and detection of unusual activities. The deformable models are learnt using the factorization theorem for nonrigid 3D models. We present a theory for characterizing the degree of deformation in the 3D models from a sequence of tracked observations. This degree, termed as deformation index (DI), is used as an input to the 3D model estimation process. We study the special case of ground plane activities in detail because of its importance in video surveillance applications. We present results of our activity modeling approach using videos of both high-resolution single individual activities and ground plane surveillance activities.</p>
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spelling doaj.art-6bf045858c53470b899b1e85685581f92022-12-21T18:52:11ZengSpringerOpenEURASIP Journal on Image and Video Processing1687-51761687-52812008-01-0120081347050Activity Representation Using 3D Shape ModelsRoy-Chowdhury AmitKAkdemir UmutAbdelkader MohamedFChellappa Rama<p>Abstract</p> <p>We present a method for characterizing human activities using 3D deformable shape models. The motion trajectories of points extracted from objects involved in the activity are used to build models for each activity, and these models are used for classification and detection of unusual activities. The deformable models are learnt using the factorization theorem for nonrigid 3D models. We present a theory for characterizing the degree of deformation in the 3D models from a sequence of tracked observations. This degree, termed as deformation index (DI), is used as an input to the 3D model estimation process. We study the special case of ground plane activities in detail because of its importance in video surveillance applications. We present results of our activity modeling approach using videos of both high-resolution single individual activities and ground plane surveillance activities.</p>http://jivp.eurasipjournals.com/content/2008/347050
spellingShingle Roy-Chowdhury AmitK
Akdemir Umut
Abdelkader MohamedF
Chellappa Rama
Activity Representation Using 3D Shape Models
EURASIP Journal on Image and Video Processing
title Activity Representation Using 3D Shape Models
title_full Activity Representation Using 3D Shape Models
title_fullStr Activity Representation Using 3D Shape Models
title_full_unstemmed Activity Representation Using 3D Shape Models
title_short Activity Representation Using 3D Shape Models
title_sort activity representation using 3d shape models
url http://jivp.eurasipjournals.com/content/2008/347050
work_keys_str_mv AT roychowdhuryamitk activityrepresentationusing3dshapemodels
AT akdemirumut activityrepresentationusing3dshapemodels
AT abdelkadermohamedf activityrepresentationusing3dshapemodels
AT chellapparama activityrepresentationusing3dshapemodels