Int. J. of Intelligent Engineering Informatics   »   2016 Vol.4, No.3/4

 

 

Title: Object tracking in video via particle filter

 

Authors: Hamd Ait Abdelali; Fedwa Essannouni; Driss Aboutajdine

 

Addresses:
LRIT, associated unit to CNRST (URAC 29), Faculty of Sciences, Mohammed V University in Rabat, Morocco
LRIT, associated unit to CNRST (URAC 29), Faculty of Sciences, Mohammed V University in Rabat, Morocco
LRIT, associated unit to CNRST (URAC 29), Faculty of Sciences, Mohammed V University in Rabat, Morocco

 

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.

 

Keywords: computer vision; object tracking; particle filters; probability product kernels; histograms; integral images; local search.

 

DOI: 10.1504/IJIEI.2016.10001292

 

Int. J. of Intelligent Engineering Informatics, 2016 Vol.4, No.3/4, pp.340 - 353

 

Submission date: 27 Sep 2015
Date of acceptance: 17 Feb 2016
Available online: 16 Nov 2016

 

 

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