PERSON FACE RE-IDENTIFICATION USING DEEP LEARNING APPROACH
Abstract
Human re-identification (Re-ID) has gained a great deal of attention owing to its ability to recognize a
suspicious person from multiple security camera footage. With the enormous number of security camera
footage, high computational techniques and memory expenses,this re-identification is becoming more
popular and interesting topic. However, the individual Re-ID over privatized security camera footage
could give rise to a security risk, i.e. an innocent individual's confidentiality spill in such pictures.As a
consequence, the current proposal is an effective confidentiality-preserving individual re-identification
over privatized camera videos using a haar cascade technique that can guarantee the safety of the
recognized person while ensuring the individual with re-identification.