A Particle Filter and Fuzzy Clustering Based Algorithm for Tracking Dim Moving Multiple Point Targets in IR Image Sequence
Los Angeles, CA
March 31, 2009 to April 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.331
The tracking algorithm described in this paper adopts the fuzzy clustering method to fuse the single frame detection measurements from different tracking windows, then the fused measurements will be inputted to the Particle filters, via the recursive prediction and updating, getting the moving state of each target at each discrete time. The theoretical and experimental results show that the algorithm presented in this paper can keep dynamic stability and robustness while providing good real-time tracking performance.
particle filter, fuzzy clustering, multi-targets, single frame detection, IR image sequence
Askar Hamdulla, Guiying Xiang, Dilmurat Tursun, "A Particle Filter and Fuzzy Clustering Based Algorithm for Tracking Dim Moving Multiple Point Targets in IR Image Sequence", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 205-209, doi:10.1109/CSIE.2009.331