DocumentCode
2039940
Title
Research on the detection and tracking technology of moving object in video images
Author
Qingchang Guo ; Bing Qiao
Author_Institution
Yichang Testing Technol. Res. Inst., Yichang, China
fYear
2015
fDate
2-5 Aug. 2015
Firstpage
469
Lastpage
473
Abstract
For accurately detecting and tracking the moving object in the fixed scene, a new algorithm is proposed in the paper. The initial moving region is detected by the inter frame difference method. The accurate moving object is segmented using the background difference method. The tracking features for tracking are extracted based on the segmented object. The moving object is tracked by the mean-shift method. And in order to for accurately tracking the moving object accurately, the background image rebuilt and the tracking feature is corrected real-timely is real-timely rebuilt and tracking feature is real-timely corrected. The effectiveness of the algorithm is verified to be effective through the experiments.
Keywords
feature extraction; image segmentation; motion estimation; object detection; object tracking; video signal processing; background difference method; background image; fixed scene; interframe difference method; mean-shift method; moving object detection technology; moving object segmentation; moving object tracking technology; moving region detection; tracking feature; tracking feature extraction; video images; Computer vision; Feature extraction; Image segmentation; Object detection; Object tracking; Real-time systems; Target tracking; background reconstruction; mean shift; object tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-7097-1
Type
conf
DOI
10.1109/ICMA.2015.7237531
Filename
7237531
Link To Document