A method for detecting and tracking a moving object

A moving target and algorithm technology, applied in image analysis, image enhancement, instruments, etc., can solve problems such as difficulty in ensuring real-time performance and high algorithm complexity, and achieve the effect of reducing the amount of calculation and improving detection accuracy

Inactive Publication Date: 2018-12-28
NANJING UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

This kind of tracking method can cope with complex scenes, and the robustness of the algorithm is strong, but this kind of algorithm needs to train

Method used

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  • A method for detecting and tracking a moving object
  • A method for detecting and tracking a moving object
  • A method for detecting and tracking a moving object

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Embodiment 1

[0098] First, connect the camera with the USB interface to the computer, turn on the camera, and shoot a video of a moving target with an occluder. The captured video is automatically saved to the preset path, and then the computer processes the video. The processing platform is Visual Studio 2010+Opencv 2.4.9.

[0099] A moving target detection and tracking method of the present invention starts from the real-time performance, accuracy and robustness of the three indicators of moving target tracking, aims at the fact that the Camshift algorithm is easily disturbed by similar background features, cannot track fast and irregular moving objects, and is resistant to In the case of poor occlusion ability, a predictive adaptive local search tracking method based on Camshift and Kalman filter is proposed. This algorithm has the characteristics of high real-time performance, anti-occlusion, high robustness and so on.

[0100] combine Figure 4 , moving target detection and trackin...

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Abstract

The invention discloses a moving object detection and tracking method. The method comprises the following steps: firstly, obtaining a frame image from a video sequence, converting the image into a gray scale image, and filtering and denoising are performed; then, the moving target region is obtained by using three-frame difference method, and the hole in the difference image is filled by morphological filter closure operation; the pixel points with non-zero gray value in the image after morphological filter closure operation are calculated by optical flow calculation, and the moving target isextracted; then the Kalman filtering algorithm is used to predict the centroid position of the moving object in the current frame image, the predicted value is compared with the centroid position tracked by a Camshift algorithm, and the centroid coordinates of the moving object are determined by the comparison results, and the size and position of the search window are determined when searching the next frame image; the model is updated to get the next frame image, the whole tracking process is repeated, and finally target tracking is achieved. The invention reduces the error of moving targetdetection and tracking, and improves the accuracy.

Description

technical field [0001] The invention belongs to the technical field of moving target tracking, in particular to a moving target detection and tracking method. Background technique [0002] Moving target detection and tracking is one of the main problems in machine vision research. It combines advanced technologies in many fields such as image processing, pattern recognition, artificial intelligence, automatic control, and computer technology. It is used in military guidance, medical image diagnosis, and video surveillance. , intelligent transportation and other aspects have a wide range of applications. However, due to the influence of illumination changes, noise, occlusion and many other factors, the existing algorithms face many problems in practical applications. Therefore, it is still a great challenge to research and design a moving target detection and tracking method with high accuracy and good robustness. [0003] To track a moving target, it is first necessary to ...

Claims

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Application Information

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IPC IPC(8): G06T7/246G06T5/00G06T7/12G06T7/66
CPCG06T5/002G06T5/009G06T2207/20036G06T7/12G06T7/246G06T7/66
Inventor 黄成蒋璐方杰彭二宝王力立张永徐志良
Owner NANJING UNIV OF SCI & TECH
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