Video monitoring method and video monitoring server

Abstract

The embodiment of the invention provides a video monitoring method and a video monitoring server. The video monitoring method and the video monitoring server are used for achieving target tracking among multiple monitoring devices, and the matching accuracy during target tracking is improved. The method in the embodiment includes the steps that when a first target leaves the scope of a first monitoring device, the video monitoring server obtains a preset motion track of the first target according to first target data transmitted by the first monitoring device; the video monitoring server obtains a smooth motion track of a second target according to received second target data transmitted by the second monitoring device; the video monitoring server judges whether any one of the smooth motion track of the second target and the preset motion track of the first target is matched or not; if any one of the smooth motion track of the second target and the preset motion track of the first target is matched, the video monitoring server determines the second target as the first target. The embodiment of the invention further provides the video monitoring server.

Description

technical field [0001] The invention relates to the technical field of video monitoring, in particular to a video monitoring method and a video monitoring server. Background technique [0002] With the rapid development of video technology, multi-camera monitoring has also been widely used. Due to the continuous increase of the monitored area, considering economic factors and avoiding unnecessary waste, it is obviously impossible to provide saturated cameras for the monitored area. Therefore Multi-camera surveillance techniques in non-overlapping areas are also being used more and more. The video surveillance system is mainly composed of two parts: 1. Tracking within the camera. The technology in this area is relatively mature. Simply put, it is to track moving targets within the field of view of a single camera; The tracking target is transferred between two camera fields of view. The tracking between cameras can be divided into camera tracking between overlapping fields o...

AI Technical Summary

Problems solved by technology

[0005] However, this method is based on appearance features and spatio-temporal features. The quality of the camera and external factors directly affect the extraction of the appearance features of the target, which makes the matching accuracy of the camera to the target low.

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