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Dynamic textures for human movement recognition
2010
Proceedings of the ACM International Conference on Image and Video Retrieval - CIVR '10
Human motion can be seen as a type of texture pattern. In this paper, we adopt the ideas of spatiotemporal analysis and the use of local features for motion description. movements with dynamic texture features. The proposed method is computationally simple and suitable for various applications such as action and gait recognition. We use Gentle AdaBoost to perform feature selection and build strong models f classifiers. We verify the performance of our methods on the challenging KTH and USF
doi:10.1145/1816041.1816110
dblp:conf/civr/KellokumpuZP10
fatcat:otcl6wew5fafrkxid2c2np6z2u