Vision-based Human Action Recognition: A Sparse Representation Perspective

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Summary

The experimental results obtained using the method are compared with the results derived using conventional machine learning techniques such as K-Nearest Neighbors (KNN) and Support Vector Machines (SVM) and show that the proposed framework yields considerable performance improvement in many aspects.

Type
article
Published
2012-01-01
Cited by
5
References
32
Access
Open access

Keywords

Perspective (graphical), Action (physics), Action recognition, Artificial intelligence, Representation (politics)

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