Target state prediction method in dynamic environment

A dynamic environment and target state technology, applied in image data processing, instrumentation, computing, etc., can solve problems such as good segmentation effect, target recognition and tracking failure, etc., to achieve the effect of narrowing the search range, improving tracking accuracy, and enhancing identification ability

Active Publication Date: 2017-10-13
WUHAN INSTITUTE OF TECHNOLOGY
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Problems solved by technology

[0004] In target recognition methods, classic target recognition methods include Otsu (inter-class variance method), maximum entropy method, basic global threshold method, iterative threshold segmentation method and various adaptive threshold methods, all of which are based on grayscale images. Single-channel segmentation method, this method can achieve a good segmentation

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  • Target state prediction method in dynamic environment
  • Target state prediction method in dynamic environment

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[0038] Hereinafter, the invention will be further described with reference to the accompanying drawings and specific embodiments, so that those skilled in the art can implement it with reference to the text of the description. The protection scope of the present invention is not limited to the specific embodiments.

[0039] The present invention relates to a target state estimation method in a dynamic environment, and the method includes the following steps:

[0040] (1) Collect the first RGB image from the camera as a priori image;

[0041] (2) Convert the above-mentioned extracted RGB image into HSV image and YCbCr image; where the RGB image is converted into YCbCr image, the conversion formula is:

[0042]

[0043] (3) Detect a target range on the HSV image and YCbCr image respectively, and use the iterative method to find the center point within the extracted target range respectively, that is, get the center point of the HSV image and the center point of the YCbCr image; the metho...

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Abstract

The present invention relates to a target state prediction method in a dynamic environment. For different colors in the dynamic environment, a color space with a best identification effect is extracted, then through continuously updating a next frame center point and a next frame image threshold range, an effect of adapting to target detection is achieved, threshold range estimation can be effectively shortened, a target is identified in a maximum way, through the combination of HSV and YCbCr color space, an update center point is corrected and restored to improve the accuracy of an algorithm, then the prediction of a target is tracked according to a Kalman filter and a Markoff model, the interference of discrete color features and similar objects in a complex environment is overcome, a detector search range is reduced, the tracking precision in the partial occlusion of the target is improved, and the tracking accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of image processing and pattern recognition, in particular to a target state estimation method in a dynamic environment. Background technique [0002] How to extract the object of our interest from an image and always calibrate the target position in the image sequence is the main topic of target tracking, and it is also an enduring topic in image processing. The earlier research in this field and the more widely used image segmentation technology is suitable for image target extraction. It is a classic problem in the field of image processing and analysis, and it is also one of the difficulties in this field. Image segmentation is actually a division problem. According to specific division criteria, the pixels in the image are filtered and divided. Usually, the result of division is to distinguish the background from the extract, or to highlight the extract, or to eliminate noise. Through division, the Ima...

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Application Information

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IPC IPC(8): G06T7/207G06T7/277G06T7/143G06T5/40
CPCG06T5/40G06T7/143G06T7/207G06T7/277G06T2207/10024
Inventor 李迅李宁邓慧敏刘仁军汪利庆
Owner WUHAN INSTITUTE OF TECHNOLOGY
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