Method and device for tracking image target based on parallel particle filtering

A technology of target tracking and particle filtering, applied in image analysis, image data processing, image data processing, etc., can solve problems such as large parallelization and acceleration space, achieve parallel processing and execution acceleration, and good robustness Effect
CN101604449AInactive Publication Date: 2009-12-16ZHEJIANG UNIV

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
ZHEJIANG UNIV
Publication Date
2009-12-16
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a method and a device for tracking image target based on parallel particle filtering. The method comprises the following steps: (1) acquiring an image sequence and defining F as the NO. F frame of the image sequence; (2) acquiring a to-be-tracked target; (3) distributing particle points and ensuring that F is equal to 2; (4) inputting the NO. F frame; (5) carrying out brightness filtering till obtaining a column diagram; (6) comparing the particle points with the target column diagram to acquire normalized weight; (7) acquiring the coordinates of the target in the NO. F frame; (8) outputting the NO. F frame and updating the target column diagram; (9) resampling the NO. F frame; (10) judging whether to continue tracking and entering step (11) if continuing tracking, otherwise, stopping tracking; and (11) ensuring that F is equal to F plus 1 and returning to the step (4) to repeat the step (4) to the step (10). The method and the device break the logical dependence of sampling, weight calculation and resampling in the prior particle filtering algorithm, and realize algorithm parallel processing and execution acceleration by utilizing the normalized weight of the previous frame as a resampling function.
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Description

technical field

[0001] The invention relates to the technical field of machine vision, in particular to an image target tracking method and device based on parallel particle filtering. Background technique

[0002] Machine vision is the use of machines instead of human eyes for measurement and judgment. The machine vision system refers to converting the captured target into an image signal through the image capture device, and transmitting it to a dedicated image processing system, and converting it into a digital signal according to the pixel distribution, brightness, color and other information; the image system performs various processing on these signals. Operation to extract the features of the target, and then control the on-site equipment action according to the result of the discrimination.

[0003] In machine vision, the tracking of a specific target is a very important part of it. In recent years, tracking systems based on particle filters have become a research ...

Claims

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