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Publication Details

M. Grundmann, F. Meier, I. Essa
3D Shape Context and Distance Transform for Action RecognitionInternational Conference on Pattern Recogntion (ICPR), Tampa, FL, December 2008

We propose the use of 3D (2D+time) Shape Context to recognize the spatial in human actions. We represent an action in a video sequence by a 3D point silhouettes over time. A non-uniform sampling method is pintroduced that parts using a Euclidean 3D Distance Transform. Actions are then classified by matching the extracted point clouds. Our proposed approach is based on a global matching and does not require specific training to learn the model. We test the approach thoroughly on two publicly available datasets and compare to several state-of-the-art methods. The achieved classification accuracy is on par with or superior to the best results reported to date.

Bibtex entry

@INPROCEEDINGS{Grundmann08,
author = {M. Grundmann and F. Meier and I. Essa },
title = {3D Shape Context and Distance Transform for Action Recognition},
booktitle = {ICPR},
year = {2008},
}



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