Multi-target tracking method applying to panoramic video and panorama camera

Abstract

The invention discloses a multi-target tracking method applying to a panoramic video and a panorama camera. The multi-target tracking method includes: selecting a certain frame of panoramic images inthe panoramic video as an initial frame of panoramic images, selecting N projection images from the initial frame of panoramic images and all subsequent frames of panoramic images, and selecting M tracking targets from the N projection images selected from the initial frame of the panoramic images; taking the initial panoramic images as the first frame of the panoramic images, and performing following steps of tracking the targets by the aid of the tracking targets in the N projection images in the i frame of the panoramic images according to the subsequent frames of the panoramic images of the first frame of the panoramic images in sequence to acquire at least one tracking target tracked successfully in the N projection images in the (i+1)th frame of panoramic images. The multi-targettracking method applying to the panoramic video and the panorama ceramic have the advantages that the multiple tracking targets can be effectively and accurately tracked, and timeliness in tracking the tracking targets can be improved.

Description

technical field [0001] The invention relates to the technical field of panoramic video, in particular to a multi-target tracking method and a panoramic camera applied to panoramic video. Background technique [0002] Panoramic video is composed of some time-related panoramic image sequences, from which a real panoramic scene can be obtained, and video frames can be positioned through time. The global motion of the cube panorama video of a still scene is usually dominated by horizontal motion, covering a 360-degree scene range. For a continuous multi-frame panorama image, the target object will move from one face of the cube panorama to the adjacent face. Due to its dynamic background, it is not suitable for the detection and tracking of dynamic objects using the method of background difference, so it is necessary to design a fast and efficient object tracking method in cube panoramic video. [0003] In the existing methods for tracking objects in panoramic video, the panora...

AI Technical Summary

Problems solved by technology

In the tracking process, the model of the target object is established, and the probability of the tracking target appearing in different areas is established according to the front and rear frames, and the position with a higher probability is used as the new position of the target; the premise of using the above method is that there will be no missed detection, and the The direction of must contain the target that needs to be tracked, and in the case of missed detection, the tracking accuracy is extremely low, and when multiple targets need to be tracked, the missed detection will be greatly improved, which leads to the existence of existing methods. Panoramic video tracking multiple targets with low accuracy

[0004] And adopt above-mentioned method, firstly need to obtain panoramic video image first and then carry out projection to obtain the projected image of preset field of view, then carry out the probability that the target appears in different regions before and after the frame, determine the new position of tracking target with the magnitude of probability, its There are many calculation steps and a large amount of calculation, and when multi-target tracking is performed, the calculation amount will increase exponentially, which leads to the problem of low tracking efficiency of panoramic video

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