An Adaptive Object Tracking Using Kalman Filter and Probability Product Kernel-Reference-Cited by-同舟云学术

An Adaptive Object Tracking Using Kalman Filter and Probability Product Kernel

Published:2016 Issue: Volume:2016 Page:1-8
ISSN:1687-5591
Container-title:Modelling and Simulation in Engineering
language:en
Short-container-title:Modelling and Simulation in Engineering

Author:

Ait Abdelali Hamd¹,Essannouni Fedwa¹,Essannouni Leila¹,Aboutajdine Driss¹

Affiliation:

1. Faculty of Sciences Rabat GSCM-LRIT Laboratory Associate Unit to CNRST (URAC 29), Mohammed V University, BP 1014, Rabat, Morocco

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.

Publisher

Hindawi Limited

Subject

Computer Science Applications,General Engineering,Modelling and Simulation

Link

http://downloads.hindawi.com/journals/mse/2016/2592368.pdf

Reference11 articles.

1. On-road vehicle detection: a review

2. An information fusion framework for robust shape tracking

3. A New Approach to Linear Filtering and Prediction Problems

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