Facial Recollection System in Live Stream
Julie J1, Eniyan S2, Sreeram G3, Srinivasa Raghavan M4
1Julie J, Assistant Professor, Department of Information Technology,Sri Sairam Engineering College.
2Eniyan S, Student, Department of Information Technology, Sri Sairam Engineering College.
3Sreeram G, Student, Department of Information Technology, Sri Sairam Engineering College.
4Srinivasa Raghavan M, Student, Department of Information Technology, Sri Sairam Engineering College.
Manuscript received on 01 March 2019 | Revised Manuscript received on 07 March 2019 | Manuscript published on 30 July 2019 | PP: 3214-3218 | Volume-8 Issue-2, July 2019 | Retrieval Number: B2627078219/19©BEIESP | DOI: 10.35940/ijrte.B2627.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In our Facial Recollection system, the facial pattern of a person is being noted during Livestream using LBPH algorithms. Faces can be detected through our camera which then reveals their identity on the screen. Faces can be identified through the collection of the previous image of the person and checking with spatial structure and arrangement. Hence we can then able to track the person of our interest. Simultaneous detection and identification of each and every individual within the frame video boundary can be made possible. Hence the image is then used to detect faces visible in the camera and then training the images and are stored in a database with a name given by the user.
Keywords: Machine Learning, Localization, Threshold, Feature Extraction, LBPH Algorithm
Scope of the Article: Machine Learning