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
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;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4673-2963-7
DOI :
10.1109/ICCSNT.2012.6526149
