DocumentCode :
607251
Title :
Automatic mouse state classification based on Markov model and event histograms of mouse activities
Author :
Aoki, Kazuo
Author_Institution :
Grad. Sch. of Eng., Utsunomiya Univ., Utsunomiya, Japan
fYear :
2012
fDate :
3-5 Dec. 2012
Firstpage :
267
Lastpage :
272
Abstract :
Mouse is well used as the test-bed of new drags. Very new psychotropic drugs are tested on mouse. However, the observation of a mouse is not precise enough and is not automatic enough. For ensuring the safety of the drags, we need relatively long observation of a mouse. This paper proposes the framework of automatic video observation of mouse activities. This includes mouse activity measurement method, the classification method of mouse activities, classification methods of mouse state and experimental implementation of the proposed method.
Keywords :
Markov processes; behavioural sciences computing; video signal processing; Markov model; automatic mouse state classification; automatic video observation; event histograms; mouse activities; mouse activity measurement method; psychotropic drugs; activity classification; mouse activity; state classification; video measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing and Convergence Technology (ICCCT), 2012 7th International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-0894-6
Type :
conf
Filename :
6530340
Link To Document :
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