Indoor falling behavior detection method with visual privacy protection advantage

A technology of privacy protection and detection method, applied in the field of computer vision and pattern recognition, can solve problems such as privacy violation, achieve the effect of improving real-time performance, reducing the amount of computer data processing, and solving privacy violation

Active Publication Date: 2019-12-20
NANJING UNIV OF POSTS & TELECOMM
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  • Abstract
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  • Claims
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Problems solved by technology

[0005] The purpose of the present invention is to provide an indoor fall behavior detection method with the advantage of visual privacy protection to solve the problem of privacy violation in the existing fall detection technology

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  • Indoor falling behavior detection method with visual privacy protection advantage
  • Indoor falling behavior detection method with visual privacy protection advantage
  • Indoor falling behavior detection method with visual privacy protection advantage

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Embodiment Construction

[0042] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0043] Such as figure 1 As shown, this embodiment provides an indoor fall behavior detection method with visual privacy protection advantages, including the following steps:

[0044] S1. Collect falling video data, select valid video clips from the collected video data as training data and test data; divide the training data into positive and negative sample sets according to whether the fall behavior occurs in the video clips, and separate them in the positive and negative sa...

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Abstract

The invention discloses an indoor fall-down behavior detection method with visual privacy protection advantages, and the method comprises the steps: firstly compressing a video frame through multilayer compressed sensing, and achieving a visual shielding effect; secondly, separating a target area from the shielded video by using a low-rank sparse decomposition theory, and extracting motion trail features of the target through a dense trail algorithm on the basis; and finally, converting the tumble detection problem into a signal sparse identification problem. While the video data volume and the video resolution are reduced, the fall detection recognition rate is still kept at a high level, and the method has the dual advantages of high privacy protection and high fall recognition rate, andhas a high practical application value.

Description

Technical field [0001] The invention belongs to the field of computer vision and pattern recognition, and specifically is an indoor fall behavior detection method with visual privacy protection advantages. Background technique [0002] The aging of the population in today's society is increasing. Accidental falls and not being discovered in time are the main reasons for the hospitalization of the elderly living alone. Therefore, timely and accurate automatic detection of falling behavior in home surveillance video has always been a research hotspot in the computer field. At the same time, although the elderly, as a vulnerable group, need to be monitored safely, as an independent individual, their personal privacy also needs to be respected. Therefore, it is of great practical significance and application value to find a fall behavior detection algorithm that takes into account both safety monitoring and privacy protection. [0003] According to different detection signal sources...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/08
CPCG06N3/08G06V40/23G06F18/2411G06F18/214
Inventor 刘佶鑫夏银云
Owner NANJING UNIV OF POSTS & TELECOMM
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