Face Detection and Encryption for Privacy Preserving in Surveillance Video
A number of techniques have recently been proposed for privacy preserving in video surveillance.Most of them are irreversible or have interference effect to the observation and recognition of human activities.In this paper,we address these issues by developing an effective method including face detection and encryption.In face detection,skin-color based approach fusing with fuzzy clustering is produced to detect facial candidates coarsely,and then we refine face by using SVM classifier.In face encryption,a reversible hybrid encryption(decryption)scheme based on spatial and value scrambling models is proposed.Simulation results verify the proposed mechanism can effectively detect and obscure faces while leaving the activities comprehensible and has high key sensibility for reducing the probability of attacking.
Privacy preserving Video surveillance Face detection Face encryption Reversible
Suolan Liu Lizhi Kong Hongyuan Wang
Changzhou University,Changzhou 213164,Jiangsu,China
国际会议
广州
英文
162-172
2018-11-23（万方平台首次上网日期，不代表论文的发表时间）