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