Title :
Ghost Detection and Removal Method Based on Edge Histogram Contrast
Author :
Liuhongdan; Jiangfeipeng
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin, China
fDate :
6/1/2015 12:00:00 AM
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"
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2015 8th International Conference on
DOI :
10.1109/ICICTA.2015.116