Object detection method based on human centerline in multi-camera environment

Abstract

The invention provides a human body central line based target detection method under a multi-camera environment. The human body central line based target detection method under the multi-camera environment comprises obtaining a binary image of a target person through the background difference technology; obtaining spindle information of the target person through a minimum median mean square deviation method; calculating homography matrix between the cameras and obtaining corresponding information of the target between the multiple cameras through the homography matrix to achieve detection of a movement target in the multiple cameras. The human body central line based target detection method under the multi-camera environment has the advantages of being low in error sensibility and strong in robustness during movement detection; enabling the central line of the target person to be well detected through single camera view under the conditions of being free of a shield and having the shield; being strong in effectiveness and robustness; providing a solid foundation for follow-up target confirmation and tracking in multiple views due to accurate detection of the central line of the target person.

Description

Technical field [0001] The invention relates to a target detection method based on the centerline of a human body in a multi-camera environment. Background technique [0002] Target detection, also called target extraction, is an image segmentation method based on target geometric and statistical features. It combines target segmentation and recognition. Its accuracy and real-time performance are an important capability of the entire target tracking system. . Especially in complex scenes, when multiple targets need to be processed in real time, the automatic extraction and recognition of targets is particularly important. [0003] In the process of multi-camera tracking, it is first necessary to detect which targets are in the images of each camera. Only by knowing the target information at each angle of view, can the information of these targets be merged for collaborative tracking in the subsequent steps. [0004] However, in actual detection, due to the influence of noise in the...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a target detection method based on the centerline of the human body in a multi-camera environment. In the case of no occlusion or occlusion, the centerline of the target person can be well detected, solving the problems existing in the prior art. Due to the impact of impurities on the detection results due to factors such as noise, illumination changes, and shadows in the actual scene, and solve the detection problem when the target is occluded

Images