A driver assaulting event detection using intel real-sense camera

초록

Biometrics refers to a technology that applies biological or behavioral characteristics such as fingerprint, face, iris, retina, vein, and voice, signature to security system. Since the 9/11 terror attack that occurred in the 9/11, all the countries in the world had been much interested in security using biometrics and the importance of protection and security of information has risen. Accordingly, the need for verifying identity and personal authentication has increased. Advantage of face detection and recognition, one of above mentioned biometrics is that it is inexpensive in building new physical infrastructure. Unlike other biometrics such as fingerprint recognition and iris recognition, face detection is non touch mode. For this reason, face detection is applicable to such diverse fields such as finance, robot, and access control and surveillance camera. The disadvantage of image data is that it takes more time and costs more than data processing using sensor. Advance in relevant technology such as image recognition technology, communication infrastructure, bulk data processing environment led to high efficiency at low cost. This study aims to verify identity of passengers of limited indoor area such as taxi and bus and track behavioral trajectory of relevant person by making good use of face detection, face recognition and object tracking technology. This study is to accumulate data that are applicable to recognition of crime pattern and the understanding of movement by detecting attack events or recording movement log. © 2017 SERSC.

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