An indoor fall behavior detection method with the advantage of visual privacy protection

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

Active Publication Date: 2022-05-27
NANJING UNIV OF POSTS & TELECOMM
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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

Method used

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  • An indoor fall behavior detection method with the advantage of visual privacy protection
  • An indoor fall behavior detection method with the advantage of visual privacy protection
  • An indoor fall behavior detection method with the advantage of visual privacy protection

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Embodiment Construction

[0042] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. 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 persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

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

[0044] S1, collect fall 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 falling behavior occurs in the video clips, and separate the positive and negative sample sets in the positive ...

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Abstract

The invention discloses an indoor fall behavior detection method with the advantage of visual privacy protection. Firstly, the video frame is compressed by multi-layer compressed sensing to achieve the visual shielding effect; then, the target is separated from the shielded video by using the low-rank sparse decomposition theory Area, on this basis, extract the trajectory features of the target through the dense trajectory algorithm; finally, convert the fall detection problem into the sparse recognition problem of the signal; while the present invention reduces the amount of video data and video resolution, the recognition rate of fall detection remains the same Maintained at a high level, it has the dual advantages of high privacy protection and high fall recognition rate, and has high practical application value.

Description

technical field [0001] The invention belongs to the field of computer vision and pattern recognition, in particular to an indoor fall behavior detection method with the advantage of visual privacy protection. Background technique [0002] The population of today's society is getting older. Accidental falls and not being detected in time are the leading cause of hospitalization for injuries among seniors living alone. Therefore, timely and accurate automatic detection of falling behaviors in home surveillance videos has always been a research hotspot in the computer field. At the same time, although the elderly need to be safely supervised as a vulnerable group, 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 both security monitoring and privacy protection into consideration. [0003] According to the different sourc...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V40/10G06V20/40G06V10/50G06V10/764G06V10/77G06V10/772
CPCG06N3/08G06V40/23G06F18/2411G06F18/214
Inventor 刘佶鑫夏银云
Owner NANJING UNIV OF POSTS & TELECOMM
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