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Infrared search-track system background updating method

A tracking system and background update technology, applied in the field of infrared search and tracking system background update

Inactive Publication Date: 2013-08-07
NANJING UNIV OF SCI & TECH
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  • Claims
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But all of the above literature research work is a fixed number of Gaussian distributions

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Embodiment Construction

[0035] For complex backgrounds with characteristics such as tree branch shaking, scene jitter, and more noise, the background pixels are generally multimodal. Staufer et al. proposed a mixed Gaussian model that uses multiple Gaussian distributions to characterize each pixel based on the idea of ​​​​the unimodal model. Model. use x (t) Indicates the value of the pixel gray level at a certain position in the image at time t; the probability density function of its mixed Gaussian model is

[0036] p ( x ( t ) ) = Σ n = 1 N w n ( t ) η n ( x ( ...

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Abstract

The invention discloses an infrared search-track system background updating method which includes: initiating iteration parameters, by an infrared search-track system, receiving image data of a thermal imager, building an infrared image background model, calculating attribution degree of each Gaussian distribution of the background model to update Gaussian distribution weight, when weight iteration of all Gaussian distributions is completed, updating mean value and variance of each Gaussian distribution by means of iteration, and extracting motion targets in a view field according to mean value and variance of the background updating model; and starting processing of next cycle. By the method, detectivity is increased effectively, false alarm rate is lowered, and good target splitting effect is guaranteed.

Description

technical field [0001] The invention belongs to the background updating technology, in particular to a background updating method of an infrared search and tracking system. Background technique [0002] In the infrared target search and tracking system, the system is required to be able to quickly and accurately segment the moving target from the image sequence, so as to realize the detection and tracking of the moving target. Extracting moving targets from complex background image sequences is the basic process of infrared target detection and tracking systems. It is usually assumed that the image sequence background in the field of view can be described by a statistical distribution model. After obtaining an accurate statistical distribution model through image sequence estimation and learning, the moving target in the scene is determined according to the distribution model. The process of obtaining a distribution model that can describe the background is called backgroun...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 顾国华徐富元陈钱钱惟贤任侃隋修宝何伟基路东明于雪莲李宏哲毛晨
Owner NANJING UNIV OF SCI & TECH