Object tracking in video via particle filter. (2016)

• Record Type: Journal Article
• Authors: Abdelali, Hamd Ait; Essannouni, Fedwa; Aboutajdine, Driss
• Is Part Of: International journal of intelligent engineering informatics. Volume 4:Number 3/4(2016)
• Page Start: 340
• Page End: 353
• Publication Date: 2016
• Subjects: computer vision -- object tracking -- particle filters -- probability product kernels -- histograms -- integral images -- local search; Artificial intelligence -- Engineering applications -- Periodicals; Engineering -- Computer programs -- Periodicals; Knowledge management -- Periodicals; 620.0028563
• Languages: English
• ISSNs: 1758-8715

Abstract

In this paper, we present a new method for object tracking. We use an efficient local search scheme based on the probability product kernel using particle filter (PPKPF) to find the image region with a histogram most similar to the histogram of the tracked target. Experimental results verify the effectiveness of this proposed algorithm.