An Adaptive Object Tracking Using Kalman Filter and Probability Product Kernel. (16th March 2016)

• Record Type: Journal Article
• Authors: Ait Abdelali, Hamd; Essannouni, Fedwa; Essannouni, Leila; Aboutajdine, Driss
• Other Names: Song Aiguo Academic Editor.
• Is Part Of: Modelling and simulation in engineering. Volume 2016(2016)
• Publication Date: 2016-03-16
• Subjects: Engineering -- Simulation methods -- Periodicals; Engineering -- Mathematical models -- Periodicals; 620.004
• DOI: 10.1155/2016/2592368
• Languages: English
• ISSNs: 1687-5591

Abstract

Abstract : We present a new method for object tracking; we use an efficient local search scheme based on the Kalman filter and the probability product kernel (KFPPK) 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 system.