A New Method of View-Invariant Human Activity Recognition

DOI

10.2991/lemcs-15.2015.373How to use a DOI?

Keywords

Human activity recognition; ICP; The activity width image; Similarity matrix

Abstract

We present a new method to recognize human activity under uncertain view. The activity width image which is extracted from the sequence of silhouette is used to represent the activity features. It converts the spatial and temporal pattern to a grey-level image. View difference causes the deformation of activity width images and degradation of recognition accuracy. To solve this problem, we transform the feature images to the new images in the uniform view based on the activity templates using Iterative closet point (ICP). For reducing the complexity, we choose the center line and the contour of the activity width images to register and the affine transformation is adopted to transform. The similarity matrix is used to measure the difference between the transformed feature image and the templates. We evaluate our method on the CASIA database and the results show that our method is simple and efficient.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Han Su
AU  - Wenjie Wang
PY  - 2015/07
DA  - 2015/07
TI  - A New Method of View-Invariant Human Activity Recognition
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 1826
EP  - 1830
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-15.2015.373
DO  - 10.2991/lemcs-15.2015.373
ID  - Su2015/07
ER  -