Recognizing Motion Using Local Appearance
نویسندگان
چکیده
This paper presents a technique for the analysis and recognition of body motion using local appearance. A set of spatio-temporal lters are determined by principal component analysis of the contents of spatio-temporal neighborhoods from a set of image sequences. A few principal components deene the basis for an orthogonal space for describing the appearance of motion. The axes of this space represent local spatio-temporal patterns. The projection of a local spatio-temporal neighborhood onto these axes provides a vector which describes the neighborhood. Motion can be described statistically using the multi-dimensional histogram of projections. Such statistical analysis of feature projections provides the basis for a method for recognition of motion patterns. In this paper we report on initial experimental which show promising results in the description of a walking action.
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