Video Surveillance Identification Techniques
Video surveillance system is gaining popularity in these days as it help in keeping a system or an organisation secure. It is becoming easier for such organisations and individuals to employ surveillance system with the decreasing video camera price, and advanced digital technologies, letting them to store data in servers for quick retrieval. Computerised surveillance system usually has a face detection and recognition system to monitor a region. Using face recognition, the system can monitor number of people went across surveillance region, the identification of people( if face details as saved previously) etc.
Face Recognition
The advanced biometrics has increased the accuracy and efficiency of face recognition algorithms. It lets computers to scan a video for face and recognise them automatically.
Methods used for Face Recognition
Face recognition algorithms uses each and every attributes of a face to generate digital identification of the face. These attribute are in such a way that it matches the physical property of the person. For example, length of eye bros, sharpness of nose, shape of face, skin colour tone can be the attribute to identify a face. These attributes are considered to be unique and with advanced biometrics, these identification are concluded correctly for a matching face.
Ethical Issues
Many civil rights are concerned about the effects of widespread video surveillance cameras along with the face recognition system. The surveillance camera installation on each and every corner is sometimes considered as invasion of privacy rather than protection from the crime. Several acts are also passed against the surveillance systems as it has a great impact on the privacy of an individual.
Counter Surveillance System
The feared video surveillance is also monitored by extensive civilian surveillance of the police by the use of same methods. This ensures that surveillance systems are again monitored by another system for improved secureness.