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Detection and tracking method of moving small target in aerial shot video

A small target and video technology, applied in the field of computer vision, can solve the problems of feature point mismatch, time-consuming, accurate and fast detection of targets, etc., achieve good robustness, improve compensation efficiency, and smooth target trajectory Effect

Active Publication Date: 2013-12-18
XIDIAN UNIV
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AI Technical Summary

Problems solved by technology

However, the disadvantage of this method is that since a large number of SURF feature points can be extracted in one image, it takes a lot of time to match the feature points of the target object with the feature points of a new frame of image, and some features point mismatch
Therefore, when detecting small moving targets, the target cannot be detected accurately and quickly.

Method used

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  • Detection and tracking method of moving small target in aerial shot video
  • Detection and tracking method of moving small target in aerial shot video
  • Detection and tracking method of moving small target in aerial shot video

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Embodiment Construction

[0062] The present invention will be further described below in conjunction with the accompanying drawings.

[0063] refer to figure 1 , the present invention comprises the detection of small target and utilizes the small target that obtains to track two processes to the video of collection, and concrete realization steps are as follows:

[0064] The first process, the specific steps of small target detection are as follows:

[0065] (1) Collect images.

[0066] For the video image sequence shot by the aircraft, one frame of image is extracted every frame, and four frames of images {I1, I3, I5, I7} are extracted in total.

[0067] (2) Extract SURF feature points.

[0068] Surf feature points maintain strong robustness to illumination changes, scaling, affine transformation, and noise. The present invention extracts Surf feature points of adjacent frames and performs feature vector matching, thereby estimating the global motion vector of the background. In the feature point...

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Abstract

The invention discloses a detection and tracking method of a moving small target in an aerial shot video. The method includes the steps of 1, collecting images, 2, extracting SURF feature points, 3, carrying out grouped matching on the images, 4, obtaining an affine matrix, 5, obtaining a difference image, 6, carrying out opening operation, 7, extracting a target area, 8, determining a target template, 9, determining a target detection area, 10, extracting and matching the feature points, 11, determining a registering center position of a target, 12, determining a target central position, and 13, determining the length and the width of the target. The method has good real-time performance and robustness in the target tracking process, and can obtain smooth target moving tracks in the target tracking process.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and further relates to a method for detecting and tracking a small moving target in an aerial video in the technical field of target detection and tracking. The invention can be used for autonomous navigation and airborne platform in the process of aircraft gradually approaching the target in an unknown environment, to monitor and track small moving targets. Background technique [0002] At present, there are three main methods for detecting moving objects in traditional moving backgrounds: background model method, optical flow method and frame difference method. The background model method is mainly used in static or quasi-static video monitoring occasions, and the inter-frame difference method is suitable for the occasions where the target moves slightly faster and the image segmentation accuracy is not high. Since the aerial video is shot in the long-distance motion in the air, the re...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06T7/20
Inventor 孙伟李文辉郭宝龙陈龙
Owner XIDIAN UNIV
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