SURVEY ON CONTRIBUTIONS TOWARDS LIVE FACE RECOGNITION IN VIDEO STREAMING.

  • D.Y. Patil College of Engineering, Akurdi, Pune.
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Image detection to identify the targeted image and extract its contents in any of the live videos which are being streamed. Every particular image of a layman contains several unique attributes for Example, the space between the eyebrows or a different type of nose. The proposed project looks into recognizing this special features and detecting them through the videos being processed in of the environment. This was attributed to the ability of artificial intelligence management, as a computer technology, to generate, process, and analyze large volume of data at a time, compared to when humans are used, to help managers in quick decision making because results of the analysis are available in time.

  1. Wright, J. and Yi Ma and Mairal, J. and Sapiro, G. and Huang, T.S. and Shuicheng Yan, \Robust Face Recognition via Sparse Representation," IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2009. pp.597 -604, 2009
  2. Yiming Yang and Xin Liu, "A re-examination oftextcategorization methods" in Proceedings of the 22ndannualinternational ACM SIGIR conference on Researchanddevelopment in information retrieval ACM,1999.
  3. Nadeau and S. Sekine, ?A Survey of NamedEntityRecognition and Classification?, LinguisticaeInvestigations,vol.30,2007.
  4. Ronan Collobert, Jason Weston, Leon Bottou,MichaelKarlen, Koray Kavukcuoglu, Pavel Kuksa, "NaturalLanguageProcessing (Almost) from Scratch" in Journal ofMachineLearning Research 12 (2011) 2493-2537 in2011.
  5. Li, K. Xu, Q. Yan, Y. Li, and R. H. Deng, ?Understanding OSN-basedfacial disclosure against face authentication systems,? in Proc. 9th ACMSymp. Inf., Comput. Commun. Secur. (ASIA CCS), 2014, pp413?424.
  6. Li, Y. Wang, T. Tan, and A. K. Jain, ?Live face detection based on the analysis of Fourier spectra,? Proc. SPIE, vol. 5404, pp. 29
  7. Tan, Y. Li, J. Liu, and L. Jiang, ?Face liveness detection from a single image with sparse low rank bilinear discriminative model,? in Proc. 11thEur. Conf. Comput. Vis., VI (ECCV), 2010, pp. 504?517.
  8. Zhang, J. Yan, S. Liu, Z. Lei, D. Yi, and S. Z. Li, ?A face ant spoofing database with diverse attacks,? in Proc. 5th IAPR Int. Conf Biometrics (ICB), Mar./Apr. 2012, pp. 26?31.
  9. Globally and S. Marcel, ?Face anti-spoofing based on general image quality assessment,? in Proc. IAPR/IEEE Int. Conf. PatternRecognit. (ICPR), Aug. 2014, pp. 1173?1178.
  10. Wen, H. Han, and A. K. Jain, ?Face spoof detection with image distortion analysis,? IEEE Trans. Inf. Forensics Security, vol. 10, no. 4,pp. 746?761, Apr. 2015.
  11. Bai, T.-T. Ng, X. Gao, and Y.-Q. Shi, ?Is physics-based liveness detection truly possible with a single image?? in Proc. IEEE Int. Symp.Circuits Syst. (ISCAS), May/Jun. 2010, pp. 3425?3428.
  12. M??tt?, A. Hadid, and M. Pietik?inen, ?Face spoofing detection fromsingle images using micro-texture analysis,? in Proc. Int. Joint Conf.Biometrics (IJCB), Oct. 2011, pp. 1?7.
  13. Maatta, A. Hadid, and M. Pietik?inen, ?Face spoofing detection fromsingle images using texture and local shape analysis,? IET Biometrics. 1, no. 1, pp. 3?10, Mar. 2012.
  14. Yang, Z. Lei, S. Liao, and S. Z. Li, ?Face liveness detection with component dependent descriptor,? in Proc. IAPR Int. Conf. Biometrics (ICB), Jun. 2013, pp. 1?6.
  15. de Freitas Pereira et al., ?Face liveness detection using dynamic texture,? EURASIP J. Image Video Process., vol. 2014, no. 1, pp. 1?15, Dec. 2014.
  16. Pinto, H. Pedrini, W. R. Schwartz, and A. Rocha, ?Face spoofingdetection through visual codebooks of spectral temporal cubes,? Image Process., vol. 24, no. 12, pp. 4726?4740, Dec. 2015.
  17. Kollreider, H. Fronthaler, and J. Bigun, ?Non-intrusive liveness detection by face images,? Image Vis. Comput., vol. 27, no. 3, pp. 233?244, 2009.
  18. Anjos and S. Marcel, ?Counter-measures to photo attacks in face recognition: A public database and a baseline,? in IAPR IEEE Int.
  19. Joint Conf. Biometrics (IJCB), Oct. 2011, pp. 1?7.
  20. Yan, Z. Zhang, Z. Lei, D. Yi, and S. Z. Li, ?Face liveness detection exploring multiple scenic clues,? in Proc. 12th Int. Conf. ControlAutom. Robot. Vis. (ICARCV), Dec. 2012, pp. 188?193.
  21. Kose and J.-L. Dugelay, ?Countermeasure for the protection office recognition systems against mask attacks,? in Proc. 10th Int.Conf. Autom. Face Gesture Recognit., Shanghai, China, Apr. 2013, pp. 1?6.
  22. de Freitas Pereira, A. Anjos, J. M. De Martino, and S. Marcel, ?Canface anti-spoofing countermeasures work in a real-world scenario?? pinprick. Int. Conf. Biometrics (ICB), Jun. 2013, pp. 1?8.
  23. Chingovska and A. R. dos Anjos, ?On the use of client identity information for face ant spoofing,? IEEE Trans. Inf. Forensics Security, vol. 10, no. 4, pp. 787?796, Apr. 2015.
  24. Yang, Z. Lei, D. Yi, and S. Z. Li, ?Person-specific face ant spoofingwith subject domain adaptation,? IEEE Trns. Inf. Forensics.

[Yashraj Manshani, Shreya Nair, Sazia Shaikh, Suraj Rana, Aditi Kalia and D.A. Phalke. (2017); SURVEY ON CONTRIBUTIONS TOWARDS LIVE FACE RECOGNITION IN VIDEO STREAMING. Int. J. of Adv. Res. 5 (Mar). 2244-2249] (ISSN 2320-5407). www.journalijar.com

Yashraj Manshani

DOI:

Article DOI: 10.21474/IJAR01/3747      
DOI URL: https://dx.doi.org/10.21474/IJAR01/3747

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