An improved approach to video target tracking based on Mean Shift

An improved approach to video target tracking based on Mean Shift

This paper proposes an algorithm based on Mean Shift, which improves on the kernel function, alterative weights, combing with Kalman filter and neighborhood searching. These improvements not only enhance the capacity of target tracking, but also reduce the computations to satisfy the need of the rea...

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Hauptverfasser: Nan Luo, Huanyu Xu, Deshen Xia
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Sprache:eng
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fast moving target
kalman filter
kernel function
mean shift
video tracking
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creator Nan Luo
Huanyu Xu
Deshen Xia
description This paper proposes an algorithm based on Mean Shift, which improves on the kernel function, alterative weights, combing with Kalman filter and neighborhood searching. These improvements not only enhance the capacity of target tracking, but also reduce the computations to satisfy the need of the real-time job. Furthermore, experimental results illuminate that the proposed algorithm can cope with clutter, target partial occlusions, scale variations and fast moving in the real-time video target tracking.
doi_str_mv 10.1109/IConSCS.2012.6502465
format Conference Proceeding
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subjects fast moving target
kalman filter
kernel function
mean shift
video tracking
title An improved approach to video target tracking based on Mean Shift
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