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035 _a.b10082906
099 9 _aAIT Thesis no.GT-91-36
100 0 _aViroat Srisurapanon
245 1 0 _aAnalysis of traffic data using the image processing approach
260 _aBangkok :
_bAsian Institute of Technology,
_c1992
300 _a131 p. :
_bill.
490 1 _aThesis ;
_vno. GT-91-36
502 _aThesis (M.Eng.) - Asian Institute of Technology
500 _aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Engineering and Technology
520 _aThis research concentrates on traffic data collection , headway, vehicle speed, lane changing and vehicle classification by video recording using image processing to extract these data automatically. This developed algorithm is applicable to moving vehicles. The overall procedure is separated into two major parts: image extraction and traffic characteristics extraction. The former employed the interframe technique modified from Vieren ' s method (1991 ) to obtain a binary image. The latter part is developed to extract traffic data from the former procedure. Two detection lines are set across a lane to detect brightness along the lines and data from these two lines were matched by the developed algorithm . Thanks to grouping and group matching techniques in this part , they can reduce many errors before finding the vehicle speeds . The result is good for speed study on expressway in Bangkok, the error of average travel speed about ±3 % while comparing with manual extraction. This algorithm was implemented as nonreal time. Time required by a personal computer to process a sequence of images was 25 times slower than real time. The detection rate is 5 frames per second by this machine, which can cause misdetecting. However, a grouping technique and a matching technique are proposed to reduce the error satisfactorily.
650 0 _aTraffic flow
650 0 _aImage processing
700 1 _aMori, Hiroshi,
_eChairperson
700 0 _aYordphol Tanaboriboon,
_eExamination committee
700 1 _aShimazaki, Toshikazu,
_eExamination committee
710 2 _aAustralian Government,
_eScholarship donor
810 2 _aAsian Institute of Technology.
_tThesis ;
_vno. GT-91-36
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B16918
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