Video surveillance system and method for face tracking and capturing

Abstract

The present invention discloses a video surveillance system and method for face tracking and capturing. The system includes a data acquisition unit, a data analysis unit, a data processing unit, a data transmission unit, a rear end main control unit and an alarm unit. The data acquisition unit consists of cloud platform cameras, the data analysis unit analyzes a moving target in a video image, and captures the face of the moving target, the data processing unit controls the video acquisition unit to perform tracking, video acquisition and capturing of the face of the moving target, the data transmission unit sends the video image and a high definition picture of the face of the moving target acquired by the video acquisition unit to the rear-end main control unit for the rear-end main control unit to perform picture identifying analysis of the target face, and add an alarm signal to the corresponding face while sending the position information of the video image where the face picture exists to the alarm unit, and the alarm unit sends the alarm signal, which effectively solves the problems such as the small size of the captured picture of the face of the moving target, unclear image, and increases the degree of user experience.

Description

technical field [0001] The invention relates to the technical field of video surveillance, in particular to a face tracking and capturing video surveillance system and method. Background technique [0002] At present, the PTZ camera is one of the most commonly used monitoring front-end equipment in the monitoring field. Surveillance personnel can manually control the pan-tilt camera to rotate and zoom, so as to realize the observation of the monitoring scene and monitoring objects. With the development of intelligent video analysis technology, monitoring equipment with intelligent functions is more and more popular among users. For example, monitoring equipment with automatic target tracking function can detect and Find the location of the moving target, control the rotation and scaling of the monitoring equipment to realize the automatic tracking function of the moving target. This automatic tracking method can realize the shooting of the activities of moving targets in t...

AI Technical Summary

Problems solved by technology

[0003] To further track and monitor moving targets in detail, since face recognition technology was introduced into the field of video surveillance, it has attracted extensive attention in the security industry. Although the existing face detection system has been able to detect faces with a high accuracy rate, but In most cases, the face images that can be provided are difficult to meet the requirements in terms of clarity and integrity, and there are considerable defects; even with the increasing popularity of monitoring systems equipped with high-definition cameras, when the detection target is located In the distance, if you do not adjust the focal length of the lens and zoom in on the screen size, the clarity of the captured image still cannot meet the requirements

For example, the detected image is stored in the database without processing, resulting in the detected face being too small or too blurred; the detected face image is covered by some occluders or attachments, such as foreground objects (located between the face and Any opaque objects between the cameras), hair, glasses, beards, resulting in the loss of some or all features of the detected face; the detected image is missing most of the face features due to incorrect shooting angles, etc.

Due to the low resolution of the video, the imaging of key parts is too small, and it is often impossible to get a clear image of the object of interest. These shortcomings will have a great negative impact on the public security organs’ call for evidence after the event, and greatly affect the effectiveness of video surveillance.

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