A New Algorithm on Mice Action Analysis

Liu Rong Hong

doi:10.4028/www.scientific.net/AMM.157-158.494

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 157-158A New Algorithm on Mice Action Analysis

A New Algorithm on Mice Action Analysis

Abstract:

Mice action data is important part of the experimental data in neurology, physiological etc. subjects. A algorithm was proposed on action analysis of mice in this paper. Difference of mice in inter-frame was extracted while the position relationship between mice contours and change information was taken into account. Then K-Means clustering algorithm was used to cluster the information while the cluster center was used as the key frame. In the recognition phase, the similarity measure function was defined according to practical significance of the center of K-Means algorithm, the most similar sample class with it was the result. Experimental results showed that the action analysis algorithm is very effective.

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Periodical:

Applied Mechanics and Materials (Volumes 157-158)

Pages:

494-498

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.157-158.494

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Online since:

February 2012

Authors:

Liu Rong Hong

Keywords:

Action Analysis, Change Information, K-Means Algorithm, Mice, Similarity

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