DocumentCode
3774054
Title
Ghost Detection and Removal Method Based on Edge Histogram Contrast
Author
Liuhongdan; Jiangfeipeng
Author_Institution
Coll. of Autom., Harbin Eng. Univ., Harbin, China
fYear
2015
fDate
6/1/2015 12:00:00 AM
Firstpage
441
Lastpage
445
Abstract
In intelligent video surveillance system, moving target detection and follow-up moving target tracking, due to the existence of ghost, will be affected. Therefore, this paper proposes a ghost detection and removal method based on edge histogram contrast. The ghost can be rapidly and effectively detected and removed by this method. Meanwhile, it is able to overcome the difficulty of ghost detection in regions with crowded moving targets. It is also beneficial to background update and follow-up target tracking and identification.
Keywords
"Image edge detection","Histograms","Target tracking","Artificial intelligence","Object detection","Automation","Video surveillance"
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2015 8th International Conference on
Type
conf
DOI
10.1109/ICICTA.2015.116
Filename
7473330
Link To Document