Virtual multi-camera target tracking video material generation method

Abstract

The invention relates to a virtual multi-camera target tracking video material generation method. By aiming at situations that research video source materials are in lack and scene changes are insufficient for multi-camera target tracking, the invention utilizes a vision technology to truly simulate a complex environment of the multi-camera target tracking in a real environment by creating a required scene and customizing the attributes of a tracked target and cameras, and even tracking video materials which rarely appear in the reality can be created. The virtual multi-camera target tracking video material generation method favorably simulates problems of specific complex environments, such as shadows, target occlusion, illumination variation, target deformation, texture changes, target generation and disappearing and the like which are not easy to realize in the reality in a target tracking process, and the three-dimensional realization processes of multi-camera calibration, collaborative operation, synchronous calibration, network layout and the like are solved. The frame data of a camera channel is processed to generate a virtual multi-camera target tracking vide, and great help is provided for target tracking algorithm research and verification.

Description

technical field [0001] The invention belongs to the field of video material generation of virtual scenes, and in particular relates to a method for generating virtual multi-camera target tracking video material. Background technique [0002] With the development of video moving target detection and tracking technology, the limited field of view of a single camera cannot meet the requirements of long-term and large-scale tracking of moving targets. Multi-camera multi-target tracking has received a lot of attention in wide-area surveillance scenarios. At present, the research and algorithm verification of multi-camera target tracking is largely limited by video source materials. Due to multi-camera movement and target matching, researchers cannot easily realize the video recording process, and it is difficult to obtain video materials to verify the algorithm. Some specific scenarios such as shadows, target occlusion, target deformation and feature changes cannot be well realiz...

AI Technical Summary

Problems solved by technology

At present, the research and algorithm verification of multi-camera target tracking is largely limited by video source materials. Due to multi-camera movement and target matching, researchers cannot easily realize the video recording process, and it is difficult to obtain video materials to verify the algorithm. Some specific scenes such as shadows, target occlusion, target deformation and feature changes cannot be well realized

At the same time, multi-camera calibration, collaborative operation, and synchronous calibration are affected by many environmental factors, and video source materials are limited to people and traffic vehicles. Some high-altitude multi-target tracking such as multi-UAV cooperative target tracking and other military materials are scarce.

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