An intelligent binary modeling method for privacy protection of bionic compound eyes for home video surveillance
A compound eye privacy and privacy protection technology, applied in the field of computer vision and pattern recognition, can solve the problems of intelligent video surveillance privacy violations and other issues
Active Publication Date: 2022-08-05
NANJING UNIV OF POSTS & TELECOMM
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[0007] In order to solve the problem of privacy violations in the intelligent video monitoring of home applications, a bionic compound eye method is proposed for visual privacy protection, and a statistical model of the association between the level of visual privacy protection and human gesture recognition is established.
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[0025] Embodiments of the present invention will be disclosed in the drawings below, and for the sake of clarity, many practical details will be described together in the following description. It should be understood, however, that these practical details should not be used to limit the invention. That is, in some embodiments of the invention, these practical details are unnecessary.
[0026] The present invention is a bionic compound eye privacy protection intelligent binary modeling method for home video surveillance, and the method comprises the following steps:
[0027] (1) Based on the public behavior recognition data set, select valid video clips, refer to several common compound-eyed insects such as bees and butterflies, and perform bionic compound-eye vision processing on the video data to achieve the effect of visual privacy protection.
[0028] Due to their unique compound eye structure, insects have a far inferior visual effect to humans. Studies have shown that v...
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The present invention is a bionic compound eye privacy protection intelligent binary modeling method for home video surveillance. The method includes the following steps: (1) based on a public behavior recognition data set, select video segments, see compound eye insects, and perform video data analysis. Biomimetic compound eye vision processing; (2) extract image visual features and statistical features respectively for the video frame sequence of biomimetic vision privacy protection; (3) map image features to image visual privacy protection scores; (4) for biomimetic vision privacy protection The video frame sequence is used to extract the moving target area in the video; (5) HOG features are extracted from the foreground moving target and passed through the SVM classifier to obtain the human gesture recognition rate; (6) The two ratios between the visual privacy protection score and the human gesture recognition rate are established. A meta-statistical model that balances the relationship between the two. The present invention balances the conflict between privacy protection and intelligent application while protecting the privacy of video data, and has high practical application value.
Description
technical field [0001] The invention belongs to the field of computer vision and pattern recognition, and in particular relates to a bionic compound eye privacy protection intelligent binary modeling method for home video surveillance, in particular to a bionic compound eye video privacy protection and typical home video surveillance. A binary statistical modeling method for human pose recognition. Background technique [0002] The continuous development of technologies such as the Internet in the era of big data has improved people's quality of life, but at the same time, many new problems have arisen, the first of which is the issue of personal privacy and security. Image and video data contain a large number of personal behaviors and lifestyles, and such data leakage will lead to serious privacy and security issues. Therefore, the security of image and video data has received extensive attention. [0003] In addition, with the continuous development of computer vision te...
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IPC IPC(8): G06V40/20G06V10/764G06V10/80G06K9/62
CPCG06V40/20G06F18/2411
Inventor 刘佶鑫潘庆慈
Owner NANJING UNIV OF POSTS & TELECOMM