Escaped prisoner recognition method based on Kinect sensor

A recognition method and sensor technology, applied in the field of fugitive recognition, can solve the problems of face occlusion and low recognition accuracy of face recognition, and achieve the effects of reduced complexity, strong anti-interference and powerful functions

Inactive Publication Date: 2016-07-13
WUHAN UNIV OF TECH
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Problems solved by technology

However, the use of general cameras to collect face data is affected by changes in lighting, occlusion, posture, expression, etc., especially in subway stations where there is a lot of traffic, partial occlusion of face

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  • Escaped prisoner recognition method based on Kinect sensor
  • Escaped prisoner recognition method based on Kinect sensor
  • Escaped prisoner recognition method based on Kinect sensor

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[0035] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.

[0036] The development environment of the present invention is Visual Studio 2013, and the Kinectfor Windows SDK 1.8 development tool is used for system design and development.

[0037] figure 1 The flow chart of the escaped criminal identification method based on Kinect sensor designed for the present invention.

[0038] Specific steps include:

[0039] S101. Turn on Kinect;

[0040] S102. Monitor through Kinect; Kinect sensor can be installed in the area to be monitored, and the captured color image and depth image, such as figure 2 with image 3 Shown.

[0041] S103. Detect whether there is a hum...

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Abstract

The invention discloses an escaped prisoner recognition method based on a Kinect sensor. Human body skeleton information and facial feature information of prisoners are acquired through the Kinect sensor, and a prisoner feature information database is established; when existence of a human body within the monitoring range is detected, skeleton tracking is automatically performed, the human body skeleton information of the detected person is calculated by extracting human body joint information, based on which matching with the human body skeleton information in the prisoner feature information database is performed, and face recognition is performed if matching is successful; and prompting alarm is emitted if the face recognition result indicates that matching is successful. The escaped prisoner recognition method is different from the conventional escaped prisoner recognition systems, human body three-dimensional data are acquired by adopting the Kinect sensor, and escaped prisoner recognition is performed through integration of the skeleton information and the three-dimensional facial features so that precision and applicability of the conventional escaped prisoner recognition systems based on two-dimensional images can be enhanced.

Description

technical field [0001] The invention relates to the fields of computer vision and pattern recognition, in particular to a fugitive recognition method based on Kinect-based face recognition and skeleton recognition. Background technique [0002] With the development of the economy, national security has increasingly become a powerful guarantee for the healthy and sustainable development of society. Today, some criminals are still fleeing, especially the existence of criminals many times, which seriously threatens the safety of people's lives and property. Therefore, it is particularly important to implement effective monitoring and identification of these fugitives. [0003] On June 1, 2009, Kinect, which was first publicly released at the E3 Game Show, was called ProjectNatal at the time. Kinect integrates many advanced visual technologies and Kinect has received unanimous praise from academia and game circles. The Kinect sensor combines sound, light, electricity and mech...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V20/64G06V40/25G06V40/168G06V40/23
Inventor 李景松王晓超苏杭赵驰易亚军陈强
Owner WUHAN UNIV OF TECH
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