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Conference papers

Activity Recognition with Volume Motion Templates and Histograms of 3D Gradients

Emre Dogan 1 Gonen Eren Christian Wolf 1 Atilla Baskurt 1 
1 imagine - Extraction de Caractéristiques et Identification
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : We propose a new method for activity recognition based on a view independent representation of human motion. Robust 3D volume motion templates (VMTs) are calculated from tracklets. View independence is achieved through a rotation with respect to a canonical orientation. From this volumes, features based on 3D gradients are extracted, projected to a codebook and pooled into a bags-of-words model classified with an SVM classifier. Experiments show that the method outperforms the original HoG3D method.
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Conference papers
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Contributor : Christian Wolf Connect in order to contact the contributor
Submitted on : Sunday, May 3, 2015 - 10:46:30 PM
Last modification on : Tuesday, June 1, 2021 - 2:08:08 PM


  • HAL Id : hal-01147957, version 1


Emre Dogan, Gonen Eren, Christian Wolf, Atilla Baskurt. Activity Recognition with Volume Motion Templates and Histograms of 3D Gradients. International Conference on Image Processing, Sep 2015, Quebec City, Canada. ⟨hal-01147957⟩



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