Abstract
Face recognition is one of the most relevant applications of image analysis. Humans have very good face identification ability but not enough to deal with lots of faces. But computers have lots of memory and processing power to work with high speed. Our problem focused on detection of face from a video frame, extraction of the face, and to calculate the eigenface after normalizing the face image to match with the database of eigenfaces for the verification or identification propose. Here we are taking Vola johns algorithm into consideration for the face detection and eigenface algorithm for matching face. Face matching operation must be fast enough in video surveillance. We proposed these two methods in video surveillance for detection of suspect in video surveillance.
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Singh, M., Sahran, R. (2018). A New Approach for Suspect Detection in Video Surveillance. In: Mishra, D., Nayak, M., Joshi, A. (eds) Information and Communication Technology for Sustainable Development. Lecture Notes in Networks and Systems, vol 10. Springer, Singapore. https://doi.org/10.1007/978-981-10-3920-1_44
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DOI: https://doi.org/10.1007/978-981-10-3920-1_44
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