Target tracking method applied to panorama image and panorama camera

Abstract

The invention discloses a target tracking method applied to a panorama image and a panorama camera. The target tracking method applied to an panorama image comprises steps of using each moment of N wide-angle lens to collect N wide-angle images, wherein N wide-angle images collected in every moment correspond to a panorama image of one frame, extracting a plurality of projection window images from N wide-angle images according to a corresponding relation between the wide angle image and a pixel point of the projection window image, using tracking targets in all wide angle images corresponding to an adjacent frame or adjacent multiple frames of panorama images to perform tracking in the plurality of projection window images extracted from N wide angle images corresponding to the panorama image of the current frame, wherein the panorama image of the adjacent frame or the panoramas of the adjacent multiple frames are before the panorama image of the current frame. The target tracking method applied to panorama image and thepanorama camera can effectively improve instantaneity and accuracy of the tracking target.

Description

technical field [0001] The invention relates to the technical field of panoramic video, in particular to a method for tracking objects applied to panoramic images and a panoramic camera. 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 object that needs to be tracked, and in the case of missed detection, the tracking accuracy is extremely low, which leads to the problem of low target tracking accuracy in the panoramic image in the existing method

[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, which makes the tracking efficiency of the panoramic video low, resulting in the problem of poor real-time tracking of the target in the panoramic image.

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