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Human face recognition detection device based on multi-video camera information integration

A face recognition, multi-camera technology, applied in the field of face recognition detection, can solve the problems such as the accuracy and speed of recognition cannot reach practical application, single video method, limited and other problems.

Inactive Publication Date: 2009-12-09
ZHEJIANG UNIV OF TECH
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  • Summary
  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0010] In order to overcome the single and limited means of obtaining part of the video of the face in the existing face recognition detection device, it is impossible to realize the face recognition of large-scale and multi-object Faced with the camera, the accuracy and speed of recognition are still not up to practical applications, etc., the present invention provides a method to realize large-scale real-time human body tracking video monitoring and multi-angle fixed-point face capture, high recognition accuracy, fast speed, and practicality Good face recognition detection device based on multi-camera information fusion

Method used

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  • Human face recognition detection device based on multi-video camera information integration
  • Human face recognition detection device based on multi-video camera information integration
  • Human face recognition detection device based on multi-video camera information integration

Examples

Experimental program
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Effect test

Embodiment 1

[0062] refer to figure 1 , Figure 3 ~ Figure 15 , a face recognition detection device based on multi-camera information fusion, a large-scale video surveillance camera 1, used to track and monitor the movement and behavior of multiple targets in a large space; multiple fast dome cameras 2 are used to monitor The face of the person being tracked is carried out close-up capture; Adopt a microprocessor 5, be used for carrying out information fusion and face detection and recognition processing to multi-camera, the flow process of processing is referred to attached Figure 14 To illustrate, 1) large-scale video surveillance camera 1 tracks multi-target human objects in a wide range; 2) controls multiple fast dome cameras 2 to take close-up shots of the face according to the spatial position of the tracked human objects; 3) close-up The captured facial image is stored in a predetermined storage unit; the above-mentioned processing is processed in a thread, and the processing leve...

Embodiment 2

[0230] refer to figure 2 , the remaining parts are the same as in Embodiment 1, the difference is that the large-scale monitoring camera 1 is a wide-angle camera, installed on a certain side of the monitoring space, for monitoring human objects in the entire space, the corresponding wide-angle camera and a plurality of fast balls The establishment of the mapping table of the type camera is determined according to the field of view range of the wide-angle camera.

Embodiment 3

[0232] The remaining parts are the same as those in Embodiments 1 and 2, except that the processing of various threads is distributed on different computers. The specific method is to form a network of multiple computers and use the image folder as a share to complete it on different computers. Its different calculation content, and put the calculation results into the agreed folder to realize distributed calculation and improve the running speed.

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Abstract

A face recognition and detection device based on multi-camera information fusion, including a large-scale video surveillance camera for monitoring multi-target human bodies in a large space, and multiple fast balls for close-up snapshots of the faces of tracked people A camera and a microprocessor for information fusion and face detection and recognition processing, control multiple pre-installed fast dome cameras to simultaneously aim at the face of a specific person for close-up capture, and get a multi-angle view of the person. The face image is roughly detected, and the suitable front or side face image is automatically judged and sent to the face recognition engine for face recognition and detection processing. Finally, the recognition results of the above-mentioned multiple single face images are passed The system's decision-making voting method determines the result of the system's face recognition. The large-scale, real-time, and non-cooperative face recognition device realized by the present invention has the advantages of high recognition accuracy, fast detection speed, low equipment requirements, good practicability, and the like.

Description

technical field [0001] The invention relates to the field of face recognition detection, in particular to a face recognition detection device. Background technique [0002] Based on face recognition detection, it can be used in security and attendance, network security, banking, customs border inspection, property management, military security, and computer login systems of government agencies. For example, public security monitoring, prison monitoring, judicial certification, civil aviation security inspection, port access control, customs identity verification, bank security, smart ID card, smart access control, smart video monitoring, smart access control, driver's license verification, various bank cards , Debit card, credit card, debit card cardholder identity verification, etc. [0003] Research on face recognition detection mainly includes research on face recognition technology and face detection technology. The initial face research mainly focused on the field of ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
Inventor 汤一平
Owner ZHEJIANG UNIV OF TECH
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