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
CN103455797AActive Publication Date: 2013-12-18XIDIAN UNIV

Patent Information

Authority / Receiving Office
CN ยท China
Current Assignee / Owner
XIDIAN UNIV
Publication Date
2013-12-18

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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.
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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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