location: Current position: Home >> Scientific Research >> Paper Publications

Small Target Detection and Tracking Based on Hole Filling Algorithm and Kalman Filter

Hits:

Indexed by:会议论文

Date of Publication:2012-12-29

Included Journals:EI、CPCI-S、Scopus

Page Number:1245-1248

Key Words:small target; morphology; hole filling; MLS; kalman filtering; tracking

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.

Pre One:Image Retrieval Based on Fractal Dictionary Parameters

Next One:Multi-Scale Object Tracking Based on Mean Shift and AUC