Real Time Face Tracking and Identification for Surveillance System

Authors(2) :-Raghu Shakil F, Prof. Saurabh Shah

The demand of smart cameras for various applications in surveillance for security purpose is growing rapidly. However till now, the handling required for real time face detection prohibits integration of the complete application into a small sized camera. The Real Time Face Tracking and Identification for Surveillance System proposed in this research work has originated ahead with a simple and an efficient approach to satisfy the handling requirements and enable constant and precise face detection. The core functionality of Real Time Face Tracking and Identification for Surveillance System is to allow tracking and recognition of human faces in a video stream and thereby provide a centralized, cost effective and robust mechanism of securing business and government premises. The primary objective of the proposed system is to reduce detection redundancy, minimize misclassification risk, provide huge processing capacity and work within a reasonable computational budget.

Authors and Affiliations

Raghu Shakil F
Research Scoler Babaria Institute of technology, Varnama, Gujarat, India
Prof. Saurabh Shah
Guided by Babaria Institute of technology, Varnama, Gujarat, India

Face tracking, Face Identification/ Recognition, Surveillance System, Camera Security, Multiple face detection, Face reorganization, HMM (Hidden Markov Model), PCA (principle Component analysis), HOG (Histogram of oriented Gradients), Descriptor, Viola-Jones

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Publication Details

Published in : Volume 4 | Issue 4 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1423-1428
Manuscript Number : IJSRSET1844448
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Raghu Shakil F, Prof. Saurabh Shah, " Real Time Face Tracking and Identification for Surveillance System, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 4, pp.1423-1428, March-April-2018. Citation Detection and Elimination     |     
Journal URL : https://ijsrset.com/IJSRSET1844448

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