Object tracking in video via particle filter

Driss Aboutajdine; Fedwa Essannouni; Hamd Ait Abdelali

doi:10.1504/ijiei.2016.10001292

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Object tracking in video via particle filter

Driss Aboutajdine Fedwa Essannouni Hamd Ait Abdelali

Year: 2016 Journal: International Journal of Intelligent Engineering Informatics Vol: 4 (3/4)Pages: 340-340

DOI: 10.1504/ijiei.2016.10001292

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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 science Computer vision Artificial intelligence Particle filter Histogram Video tracking Tracking (education) Object (grammar) Kernel (algebra) Histogram matching Mean-shift Filter (signal processing) Pattern recognition (psychology) Image (mathematics) Mathematics

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Topics

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Advanced Algorithms and Applications

Physical Sciences → Engineering → Control and Systems Engineering

Object tracking in video via particle filter

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