Facial Recognition System for Suspect Identification Using a Surveillance Camera
| Autor: | M. Ramakrishnan, V.D. Ashok Kumar, K. Vengatesan, S. Malathi, V. D. Ambeth Kumar |
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| Rok vydání: | 2018 |
| Předmět: |
Computer science
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing 02 engineering and technology Computer Graphics and Computer-Aided Design Facial recognition system Task (project management) Upload Identification (information) Feature (computer vision) Pattern recognition (psychology) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Computer Vision and Pattern Recognition Artificial intelligence Suspect business |
| Zdroj: | Pattern Recognition and Image Analysis. 28:410-420 |
| ISSN: | 1555-6212 1054-6618 |
| DOI: | 10.1134/s1054661818030136 |
| Popis: | Nowadays, finding and Tracking a person in the world of technology is becoming a necessary task for various security purposes. Since the advent of technology, the development in the field of Facial Recognition plays an important role and has been exponentially increasing in today’s world. In this, a model is proposed for facial recognition to identify and alert the system when a person in search has been found at a specific location under the surveillance of a CCTV camera. The CCTV cameras are connected to a centralized server to which the live streaming feed is uploaded by cameras at each location. The server contains a database of all persons to be found. Based on the video feed from each camera, if a particular person in search is found in a certain feed, then the location of that person will be tracked and also a signal is passed to the system responsible. This model is based on image processing concepts to match live images with the existing trained images of the person in search. Since this model recognizes a person based on the first and foremost primary unique feature of a human, that is, only the person’s face image is required and will be found to be stored in the database. Hence the task of finding a person reduces to the task of detecting human faces in the video feed and matching with the existing images from the database. |
| Databáze: | OpenAIRE |
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