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Studies on the Target Tracking Algorithm Based on Particle Filters

Author: ZhangZuo
Tutor: CaiNian
School: Guangdong University of Technology
Course: Signal and Information Processing
Keywords: Target tracking Particle filter Space histogram Sea Clutter
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 164
Quote: 1
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Abstract


Target tracking is a cutting-edge research topics in the field of computer vision, by its very nature is a recursive estimation to determine the image sequence of interest with some significant characteristics (such as color, shape, texture, movement, etc.) of the target location. With the rapid development of image processing technology and the continuous improvement of the performance of your computer, target tracking technology favored by people in video surveillance, video retrieval and human-computer interaction, traffic monitoring, medical diagnostics, robot visual navigation, virtual reality and imaging guidance has been widely used. In numerous target tracking algorithm, target tracking algorithm based on particle filter method is more popular in recent years. Powerful theoretical tools, particle filter to handle non-Gaussian, nonlinear state estimation problem is also the framework target tracking algorithm complete theoretical framework. The algorithm is based on Bayesian statistics tracking problem into non-linear non-Gaussian Bayesian filtering problems, and then filtering problem solving to achieve the target tracking. The spatial distribution of color information and color space histogram fusion target, target discrimination capability than the traditional color histogram. In this paper, in the framework of the target tracking system based on particle filtering algorithm, the weighted sample set representing the target state posterior probability distribution; simple random drift model indicates the state of the system model; take advantage of the space of the target area histogram describing the target, which through nuclear probability density estimation to create the target color distribution, then create spatial statistical spatial information of the color distribution histogram; space histogram similarity definition to create a probabilistic model of the system observation, finally proposed a target tracking algorithm based space histogram of the particle filter . IR target in sea clutter, vulnerable to the impact of sea clutter, thereby reducing the ability of target detection, turn on the sound track of the target due to a lot of interference. This article space histogram-based particle filter target tracking algorithm applied to infrared target tracking sea clutter. This study algorithm combines the spatial information, as opposed to the traditional gray histogram, the more stringent definition of similarity, robust tracking IR target in sea clutter, and effective solution to the problem of occlusion. The experimental results show that, compared to traditional histogram-based particle filter target tracking algorithm, the proposed algorithm has obvious advantages for complex partial occlusion and occlusion sea clutter under infrared target tracking has better robustness.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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