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Facial Recognition System for Suspect Identification Using a Surveillance Camera

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Abstract

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.

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References

  1. P. Viola and M. Jones, “Rapid object detection using a boosted cascade of simple features”, in Proc. 2001 IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR 2001) (Kauai, HI, 2001), Vol. 1, pp. I-511–I-518.

  2. P. Santemiz, L. J. Spreeuwers, and R. N. J. Veldhuis, “Side-view face recognition”, in Proc. 32nd WIC Symposium on Information Theory in the Benelux (Brussels, 2011), pp. 305–312.

    Google Scholar 

  3. Md. A. Rahim, Md. N. Hossain, T. Wahid, and Md. S. Azam, “Face recognition using Local Binary Patterns (LBP)”, Global J. Comput. Sci. Technol. 13 (4), 1–8 (2013).

    Google Scholar 

  4. T. Ahonen, A. Hadid, and M. Pietikäinen, “Face recognition with Local Binary Patterns”, Computer Vision — ECCV 2004, Proc. 8th European Conf. on Computer Vision, Part I, Ed. by T. Pajdla and J. Matas, Lecture Notes in Computer Science (Springer, Berlin, Heidelberg, 2004), Vol. 3021, pp. 469–481.

    Article  MATH  Google Scholar 

  5. Y.-S. Liu, W.-S. Ng, and C.-W. Liu, “A comparison of different face recognition algorithms” (2009). https://doi.org/cs.unc.edu/~chunwei/papers/2009pr_face_recog.pdf

    Google Scholar 

  6. J. Y. Choi, W. De Neve, K. N. Plataniotis, and Y. M. Ro, “Collaborative face recognition for improved face annotation in personal photo collections shared on online social networks,” IEEE Trans. Multimedia 13 (1), 14–28 (2011).

    Article  Google Scholar 

  7. S. Satoh, Y. Nakamura, and T. Kanade, “Name-It: Naming and detecting faces in news videos,” IEEE Trans. Multimedia 6 (1), 22–35 (1999).

    Article  Google Scholar 

  8. J. D. Lafferty, A. McCallum, and F. C. N. Pereira, “Conditional random fields: Probabilistic models for segmenting and labelling sequence data,” in Proc. 18th Int. Conf. on Machine Learning (ICML 2001) (Williamstown, MA, 2001), Ed. by C. E. Brodley and A. Pohoreckyj Danyluk (Morgan Kaufmann, San Francisco, 2001), pp. 282–289.

    Google Scholar 

  9. T. L. Berg, A. C. Berg, J. Edwards, and D. A. Forsyth, “Who’s in the picture?,” in Advances in Neural Information Processing Systems 17, Proc. 18th Conf. on Neural Information Processing Systems (NIPS 2004), Ed. by L. K. Saul, Y. Weiss, and L. Bottou (MIT Press, 2005), pp. 137–144.

    Google Scholar 

  10. J. Lafferty, A. McCallum, and F. C. N. Pereira, “Conditional random fields: Probabilistic models for segmenting and labeling sequence data,” Departmental Papers (CIS), University of Pennsylvania (June 2001). https://doi.org/repository.upenn.edu/cis_papers/159/

    Google Scholar 

  11. J. K. Zhu, S. C. H. Hoi, and M. R. Lyu, “Face annotation using Transductive Kernel Fisher Discriminant,” IEEE Trans. Multimedia 10 (1), 86–96 (2008).

    Article  Google Scholar 

  12. M. Tapaswi, M. Bäuml, and R. Stiefelhagen, “Knock! Knock! Who is it? probabilistic person identification in TV-series,” in Proc. 2012 IEEE Conf. on Computer Vision and Pattern Recognition (CVPR 2012) (Providence, RI, 2012), pp. 2658–2665.

    Chapter  Google Scholar 

  13. T. L. Berg, A. C. Berg, J. Edwards, M. Maire, R. White, Y. W. Teh, E. G. Learned-Miller, and D. A. Forsyth, “Names and faces in the news,” in Proc. 2004 IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR 2004) (Washington, DC, 2004), Vol. 2, pp. II-848–II-854.

  14. J. Yang and A. G. Hauptmann, “Naming every individual in news video monologues,” in Proc. 12th Annual ACM Int. Conf. on Multimedia (New York, 2004), pp. 580–587.

    Chapter  Google Scholar 

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Authors and Affiliations

  1. Computer Science and Engineering, Panimalar Engineering College, Chennai, 600123, India

    V. D. Ambeth Kumar & S. Malathi

  2. Computer Science and Engineering, St.Peter’s University, Chennai, 600054, India

    V. D. Ashok Kumar

  3. Computer Science and Engineering, Sanjivani College of Engineering, Kopargaon, 423603, Maharashtra, India

    K. Vengatesan

  4. School of Information Technology, Madurai Kamarai University, Madurai, 625021, Tamil Nadu, India

    M. Ramakrishnan

Authors
  1. V. D. Ambeth Kumar
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  2. V. D. Ashok Kumar
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  3. S. Malathi
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  4. K. Vengatesan
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  5. M. Ramakrishnan
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Correspondence to V. D. Ambeth Kumar.

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V. D. Ambeth Kumar received my Ph.D (Computer Science Engineering) from Sathyabama University, India in 2013, having pursued my M.E (Computer Science Engineering) degree in Annamalai University, Chidambaram and B.E. (Computer Science Engineering) in Madurai Kamaraj University, Madurai, Tamil Nadu, India in the year 2006 and 2004. Having a rich experience in the field of Computer Science for close to a decade, I currently work as an Associate Professor at Panimalar Engineering College, Chennai, India. Besides having contributed in Technology initiatives and published books on Theory of Computation, Design and Analysis of Algorithms and Advanced Computer Architectures, my articles have also been published in 22 international journals, 6 national journals. Additionally, I have presented papers in more than 41 national and international conferences. Being a recognized supervisor of Anna University, I also guide research scholars for Ph.D. programme. I am the recipient of the Best Teacher award of PEC in 2011, with my work having been profiled broadly such as in image processing, pattern recognition, neural network, and network. My research interests include computational model, compiler design, data structure, and microprocessors. Not only am I a Reviewer and Editor of many reputed journals, but I am also a Life Member of ISTE, IAENG, and ACEEE.

V. D. Ashok Kumar received M.E (Computer Science Engineering) from Annamalai University, having pursued my B.E (Computer Science Engineering) in Madras University and I’m pursing my Ph.D(CSE) in St.Peter Uninersity. I have teaching experience in Department of Computer Science and Engineering for the past six years. I had published many papers in various national, international conferences and journals. My area of interests are data structure, theory of computation, compiler design and image processing.

S. Malathi obtained her Doctorate from Sathyabama University, Chennai in the field of Software Engineering. She has more than 18 years of teaching experience and currently working as Professor, Dept. of CSE, Panimalar Engineering College, Chennai. She has published/presented several research papers in peer-reviewed international/national journals and conferences, respectively. She has recently received the award from CSI for “Best Paper Presenter in International Conferences.” She has guided number of projects and a few of them have received National Recognition. Her future interests lay in the field of software engineering, image processing, and networks.

K. Vengatesan is presently working as Associate Professor in the Department of Computer Engineering, Sanjivani College of Engineering, Kopargaon, Ahmednagar, affiliated to Savitribai Phule Pune University, Maharashtra. He completed UG B.E(CSE) PGP College of Engineering and Technology at 2005, M. Tech Information at Sathyabama University, Chennai 2010, Ph.D. degree from Sri Satya Sai University of Technology and Medical Sciences, Sehore (M.P) 2017. His research area includes data mining, clustering, bioinformatics.

M. Ramakrishnan was born in 1967. He is working as a professor, Head and Chairperson of School of Information Technology in Madurai Kamaraj University. He has guided 15 research scholars to his credit. His area of interests are Network Security, Parallel Computing, Image Processing, Web Services, Fuzzy Logic and Neural Networks. He has 26 years of teaching experience. He is a member of ISTE and senior member of IACSIT. He is a reviewer of International Journals such as scientific journal of computer science and international journal of Computer Science and Emerging Technology.

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Kumar, V.D.A., Kumar, V.D.A., Malathi, S. et al. Facial Recognition System for Suspect Identification Using a Surveillance Camera. Pattern Recognit. Image Anal. 28, 410–420 (2018). https://doi.org/10.1134/S1054661818030136

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  • DOI: https://doi.org/10.1134/S1054661818030136

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