DocumentCode
2302263
Title
Small target detection and tracking based on hole filling algorithm and Kalman filter
Author
Wang Kuiwei ; Xu Lijuan ; Sun Haiyan ; Hu Xiaopeng
Author_Institution
Sch. of Comput. Sci., Dalian Univ. of Technol., Dalian, China
fYear
2012
fDate
29-31 Dec. 2012
Firstpage
1245
Lastpage
1248
Abstract
Firstly, we detect the point target from continuous multi-frame images by using of the hole filling algorithm. After that, according to the gaussian distribution features of point target, some noise points are eliminated from the points. Finally, the candidate targets are tracked with the kalman filtering method.
Keywords
Gaussian distribution; Kalman filters; feature extraction; image denoising; least squares approximations; object detection; object tracking; Gaussian distribution features; Kalman filter; continuous multiframe images; hole filling algorithm; noise points elimination; point target detection; small target detection; small target tracking; MLS; hole filling; kalman filtering; morphology; small target; tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4673-2963-7
Type
conf
DOI
10.1109/ICCSNT.2012.6526149
Filename
6526149
Link To Document