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Extracting traffic information using...

University of California, Davis.

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Extracting traffic information using video image processing.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Extracting traffic information using video image processing./
Author:	Singh, Shailendra Pratap.
Description:	44 p.
Notes:	Adviser: Michael Zhang.
Contained By:	Masters Abstracts International47-05.
Subject:	Computer Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1463452
ISBN:	9781109082807

Extracting traffic information using video image processing.
Singh, Shailendra Pratap.

Extracting traffic information using video image processing. - 44 p.

Adviser: Michael Zhang.

Thesis (M.S.)--University of California, Davis, 2008.

This thesis presents a methodology for extracting traffic parameter using video image processing. It is an offline system that focuses on extracting vehicles, tracking them and provides the vehicle count for a short period of time. It uses background subtraction algorithm for extracting moving objects. The salient feature of this research is that it uses a novel method for extracting vehicle count. The proposed method for counting vehicles uses screen-line that keeps track of each vehicle crossing it. The results show that the algorithm is capable of counting 100% of the vehicles. Some noise was induced during the cast shadow removal process. Due to the presence of such noise pixels, final vehicle counts were increased by approximately 15%.

ISBN: 9781109082807Subjects--Topical Terms:

626642
Computer Science.

Extracting traffic information using video image processing.
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020 $a 9781109082807
035 $a (UMI)AAI1463452
035 $a AAI1463452
040 $a UMI $c UMI
100 1 $a Singh, Shailendra Pratap. $3 1065232
245 1 0 $a Extracting traffic information using video image processing.
300 $a 44 p.
500 $a Adviser: Michael Zhang.
500 $a Source: Masters Abstracts International, Volume: 47-05, page: .
502 $a Thesis (M.S.)--University of California, Davis, 2008.
520 $a This thesis presents a methodology for extracting traffic parameter using video image processing. It is an offline system that focuses on extracting vehicles, tracking them and provides the vehicle count for a short period of time. It uses background subtraction algorithm for extracting moving objects. The salient feature of this research is that it uses a novel method for extracting vehicle count. The proposed method for counting vehicles uses screen-line that keeps track of each vehicle crossing it. The results show that the algorithm is capable of counting 100% of the vehicles. Some noise was induced during the cast shadow removal process. Due to the presence of such noise pixels, final vehicle counts were increased by approximately 15%.
590 $a School code: 0029.
650 4 $a Computer Science. $3 626642
650 4 $a Engineering, Civil. $3 783781
690 $a 0543
690 $a 0984
710 2 $a University of California, Davis. $3 1018682
773 0 $t Masters Abstracts International $g 47-05.
790 $a 0029
790 1 0 $a Zhang, Michael, $e advisor
791 $a M.S.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1463452