Video analysis and positioning information combination-based continuous aircraft tracking method

Abstract

The invention relates to a video analysis and positioning information combination-based continuous aircraft tracking method. The method comprises the following steps of: carrying out calculation according to positioning information of a target aircraft so as to obtain an image coordinate of the target aircraft in a video image; carrying out single-target tracking on the target aircraft according to a monitor video; comparing an image coordinate of a target aircraft tracking box for single-target tracking with the image coordinate of the target aircraft, and if a distance therebetween continuously exceeds an effective tracking threshold value, considering that the singe-target tracking loses the target; after confirming that the single-target tracking loses the target, determining a searchbox according to an effectively tracking range according to an image coordinate point, in the video image, of the target aircraft by taking the image coordinate point as a center point, so as to recognize the target aircraft; preferably taking HOG features as feature descriptors for target aircraft detection; and carrying out calculation by adoption of a DSST algorithm so as to obtain a position model and a scale model of a tracking filter. According to the method, loss of target aircrafts can be timely judged, and data processing amount for finding lost targets is small, so that the method can be mainly used for continuous tracking of targets such as aircrafts and similar occasions.

Description

technical field [0001] The invention relates to an aircraft continuous tracking method based on the combination of video analysis and positioning information, which belongs to video monitoring and computer information technology, and can be mainly used for continuous tracking of aircraft and other targets and similar occasions. Background technique [0002] There are two main types of existing aircraft continuous tracking technologies: one is based on the existing aircraft positioning information, and maps the latitude and longitude of the aircraft used in the positioning information to the image coordinates of the aircraft monitoring or tracking system, thereby realizing aircraft identification and tracking. The latitude and longitude information (positioning information) can be obtained through a variety of methods, such as surface surveillance radar (SSR), automatic dependent surveillance-broadcast (ADS-B), multi-base station positioning system (Multilateration), etc.; ano...

AI Technical Summary

Problems solved by technology

These technical difficulties will cause the selected tracking target to be lost, that is, the tracking frame is separated from the actual target in the video, which will affect the actual promotion and utilization

[0004] At present, the first problem that needs to be dealt with in the face of the loss problem is: how to judge the loss of target tracking and the time of loss. However, among all the existing algorithms, none of them can really judge when the target is lost.

The existing technology usually regards the disappearance of the tracking frame in the video as the loss of the target. In this case, target re-identification can be used to retrieve the lost target. For example, the characteristics of the tracking target can be recorded before the target disappears. Do global target detection, and then perform feature matching on the detected target. If the matching is successful, the target can be considered to be retrieved. Since the existing target re-identification algorithms are all based on the area selection strategy of sliding windows on the entire video image, they are not targeted. High time complexity and redundant windows; even target detection based on deep learning requires target detection on the entire video image, which is slow

In particular, most of the target loss in reality is that the tracking frame is still in the picture, but not at the actual position of the target, resulting in false tracking. This kind of target loss is more harmful than the disappearance of the tracking frame, and it is difficult to find and correct. , the existing technology is still unable to judge and correct the target loss in the presence of such a tracking frame

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