DocumentCode :
3051918
Title :
Background extraction algorithm base on Partition Weighed Histogram
Author :
Sheng Jiang ; Yingying Zhao
Author_Institution :
Coll. of Transp., Jilin Univ., Changchun, China
fYear :
2012
fDate :
21-23 Sept. 2012
Firstpage :
433
Lastpage :
437
Abstract :
The common method to detect moving objects in image processing and Intelligent Transportation Systems (ITS) is background subtraction. So the background extraction is an important aspect of traffic vision detection and analysis. In order to improve the accuracy and the applicability of background extraction, a new background extraction algorithm is presented, which is called Partition Weighed Histogram (PWH) method. And in order to compare PWH method with other algorithms, an evaluation rule for comparison is built. Finally, different traffic videos are taken to verify the performance of PWH algorithm comparing with other algorithms.
Keywords :
image processing; object detection; telecommunication traffic; transportation; background extraction; background subtraction; image processing; intelligent transportation systems; moving object detection; partition weighed histogram; traffic videos; traffic vision analysis; traffic vision detection; Algorithm design and analysis; Data mining; Histograms; Partitioning algorithms; Signal processing algorithms; Standards; Videos; Background extraction; Background subtraction; Image processing; Partition weighed histogram; Video detection; evaluation rule;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network Infrastructure and Digital Content (IC-NIDC), 2012 3rd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2201-0
Type :
conf
DOI :
10.1109/ICNIDC.2012.6418790
Filename :
6418790
Link To Document :
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