A New Approach for Suspect Detection in Video Surveillance
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 p
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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. Keywords Video surveillance
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Face detection
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Face recognition
1 Introduction Video surveillance is also known as closed-circuit television network. Video mean sequential frames or image, and the word surveillance comes from a French phrase for “watching over” (“sur” means “from above” and “veiller” means “to watch”). Video surveillance is a challenging research field in computer vision. It tries to detect, recognize, and track objects over a sequence of images. It also makes an attempt to understand and describe object behavior. Video surveillance came in research to replace the old traditional method of monitoring cameras by human operators [1].
M. Singh (✉) ⋅ R. Sahran Central University of Rajasthan, Bandarsindri, NH8, Ajmer, Rajasthan, India e-mail: [email protected] R. Sahran e-mail: [email protected] © Springer Nature Singapore Pte Ltd. 2018 D.K. Mishra et al. (eds.), Information and Communication Technology for Sustainable Development, Lecture Notes in Networks and Systems 10, https://doi.org/10.1007/978-981-10-3920-1_44
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M. Singh and R. Sahran
Human Detection
Usually, CCTV cameras are used to monitoring human’s behavior and humans activities. Usually, a prime concern in video surveillance is a human. When the lots of persons are there under the CCTV surveillance, then it is difficult for a person to monitoring all of them. There, an automatic human detection system in video surveillance is very useful. Detecting human in consecutive frames of video is really difficult task due to their changing appearance and different pose. There are number of application of human detection [2].
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Face Detection
In video surveillance, face detection is an important stage of face recognition. It makes face recognition process somewhat easy. Face detection is defined as the method of extracting faces part from the given image or a video frame. A system is trained in such a way that it positively identities a certain part of image region as a face. Before detection of face component, the face part is first localized in the image; nowadays, most of the face recognition applications do not need the face detection separately, because it is predefined in the face recognition steps. A major example of this is a criminal
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