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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Related citation:MENG Fan-feng,ZENG Qing-shuang,LiLi.Identification of traffic object’s motion behavior based on track[J].Journal of Harbin Institute Of Technology(New Series),2010,17(6):884-888.DOI:10.11916/j.issn.1005-9113.2010.06.027.
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Identification of traffic object’s motion behavior based on track
Author NameAffiliation
MENG Fan-feng School of Astronautics,Harbin Institute of Technology,Harbin 150001,China 
ZENG Qing-shuang School of Astronautics,Harbin Institute of Technology,Harbin 150001,China 
LiLi School of Astronautics,Harbin Institute of Technology,Harbin 150001,China 
Abstract:
To extract the track parameters of a traffic object in traffic video and identify its motion behavior,a new method is proposed based on CamShift(Continuously Adaptive Mean Shift)and HMM(Hidden Markov Model).First,an object entering the video scene is located and tracked by the CamShift based algorithm,then its track parameters are obtained.Next,the track parameters are processed to form the observation sequence of HMM,and the motion behavior modeling and probability evaluation are implemented based on HMM.At last,the behavior identification and behavior statistics of the tracked traffic object in video are achieved.Experiments show that this method can be used to sort and recognize the motion behavior of the traffic object by its corresponding behavior track,and to do some statistics or corresponding process schemes.
Key words:  CamShift  HMM  track parameter  motion behavior identification
DOI：10.11916/j.issn.1005-9113.2010.06.027
Clc Number:TP391.41
Fund:

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