Super-resolution video generation algorithm for surveillance applications

References

• Marichal X. and Villeges P. Objective evaluation of segmentation masks in video sequences, Proc. 10th European Signal Processing Conf., Tampere, Finland, September 2000, EURASIP, pp. 2193–2196.
   Google Scholar
• Chalom E. and Bove M. Segmentation of an image sequence using multidimensional image attributes, Proc. IEEE Int. Conf. on Image processing: ICIP’96, Lausanne, Switzerland, September 1996, IEEE, pp. 525–528.
   Google Scholar
• Gu C. and Lee M. Semiautomatic segmentation and tracking of video objects. IEEE Trans. Circuits Syst. Video Technol., 1998, 8, 572–584.
   Web of Science ®Google Scholar
• Castagno R., Ebrahimi T. and Kunt M. Video segmentation based on multiple features for interactive multimedia applications. IEEE Trans. Circuits Syst. Video Technol., 1998, 8, 562–571.
   Web of Science ®Google Scholar
• Zabih R., Miler J. and Mai K. A feature-based algorithm for detecting and classifying production effects. Multimedia Syst., 1999, 7, 119–128.
   Web of Science ®Google Scholar
• Koprinska I. and Carrato S. Temporal video segmentation: a survey. Signal Process.: Image Commun., 2001, 16, 477–500.
   Web of Science ®Google Scholar
• Choi J. G., Lee S.-W. and Kim S.-D. Spatio-temporal video segmentation using a joint similarity measure. IEEE Trans. Circuits Syst. Video Technol., 1997, 7, 279–286.
   Web of Science ®Google Scholar
• Kim M., Choi J. G., Kim D., Lee H., Lee M. H., Ahn C. and Ho Y.-S. A VOP generation tool: automatic segmentation of moving objects in image sequences based on spatial-temporal information. IEEE Trans. Circuit Syst. Video Technol., 1999, 9, 1216–1226.
   Web of Science ®Google Scholar
• Meier T. and Ngan K. N. Automatic segmentation of moving objects for video object plane generation. IEEE Trans. Circuit Syst. Video Technol., 1998, 8, 525–538.
   Web of Science ®Google Scholar
• Meier T. and Ngan K. N. Video segmentation for content-based coding. IEEE Trans. Circuit Syst. Video Technol., 1999, 9, 1190–1203.
   Web of Science ®Google Scholar
• Kim C. and Hwang J.-H. Fast and automatic video object segmentation and tracking for content-based applications. IEEE Trans. Circuit Syst. Video Technol., 2002, 12, 122–129.
   Web of Science ®Google Scholar
• Murugas Themesha, Peplow Roger, Tapamo Jules-Raymond. Video object extraction, Proceedings of the 3rd International Symposium on Image and Signal Processing and Analysis: ISPA 2003, Rome, Italy, September 2003, IEEE, 599–605.
   Google Scholar
• Wang H.-Y. and Ma K.-K. Spatio-temporal video object segmentation via scale-adaptive 3D structure tensor. EURASIP J. Appl. Signal Process., 2004, 2004, 798–813.
   Google Scholar
• Cheng S.-C., Huang W.-K. and Wu T.-L. A fast global motion estimation for moving objects segmentation using moment-preserving technique, Proc. IEEE Int. Symp. on Circuits and systems: ISCAS 2005, Kobe, Japan. May 2005, IEEE, Vol. 4, pp. 3455–3458.
   Google Scholar
• Zhang X.-P. and Chen Z. H. An automated video object extraction system based on spatiotemporal independent component analysis and multiscale segmentation. EURASIP J. Appl. Signal Process., 2006, 2006, 1–22.
   PubMedGoogle Scholar
• Yan S. R. Effective segmentation for move objects in video, Proc. 7th World Cong. on Intelligent control and automation: WCICA 2008, Chongqing, China, June 2008, IEEE, pp. 5115–5120.
   Google Scholar
• Nadimi S. and Bhanu B. Moving shadow detection using a physics-based approach, Proc. IEEE 16th Int. Conf. on Pattern recognition: ICPR 2002, Quebec City, Que., Canada, August 2002, IEEE Computer Society, Vol. 2, pp. 701–704.
   Google Scholar
• Salvador E., Cavallaro A. and Ebrahimi T. Shadow identification and classification using invariant color models, Proc. IEEE Int. Conf. on Acoustics, speech, and signal processing: ICASSP ’01, Salt Lake City, UT, USA, May 2001, IEEE, Vol. 3, pp. 1545–1548.
   Google Scholar
• Salvador E., Cavallaro A. and Ebrahimi T. Cast shadow segmentation using invariant color features. Comput. Vis. Image Understand., 2004, 95, 238–259.
   Web of Science ®Google Scholar
• Xu L., Qi F. H. and Jiang R. J. Shadow removal from a single image, Proc. 6th Int. Conf. on Intelligent systems design and applications: ISDA’06, 2006, IEEE, Vol. 2, pp. 1049–1054.
   Google Scholar
• Tsai R. and Huang T. Multiframe image restoration and registration. Adv. Comput. Vis. Image Process., 1984, 1, 317–339.
   Google Scholar
• Tekalp A., Ozkan M. and Sezan M. High-resolution image reconstruction from lower-resolution image sequences and space-varying image restoration, Proc. IEEE Int. Conf. on Acoustics, speech and signal processing: ICASSP-92, San Francisco, CA, USA, March 1992, IEEE, Vol. III, pp. 169–172.
   Google Scholar
• Joshi M. V. and Chaudhuri S. A learning-based method for image super-resolution from zoomed observations, Proc. 5th Int. Conf. on Advances in pattern recognition: ICAPR’03, Calcutta, India, December 2003, IEEE, pp. 179–182.
   Google Scholar
• Chang H., Yeung D. Y. and Xiong Y. Super-resolution through neighbor embedding, Proc. IEEE 5th Conf. on Computer vision and pattern recognition: CVPR 2004, Washington, DC, USA, June–July 2004, IEEE, pp. 275–282.
   Google Scholar
• Jiji C. V. and Chaudhuri S. Single frame image super-resolution through contourlet learning. EURASIP J. Appl. Signal Process., 2006, 2006, 1–11.
   PubMedGoogle Scholar
• Mao L. and Xie M. Automatic segmentation of moving objects in video sequences based on spatio-temporal information, Proc. Int. Conf. on Communications, circuits and systems: ICCCAS 2007, Fukuoka, Japan, July 2007, pp. 750–754.
   Google Scholar
• Deng Y., Kenney S., Moore M. S. and Manjunath B. S. Peer group filtering and perceptual color image quantization, Proc. IEEE Int. Symp. on Circuits and systems: ISCAS’99, Orlando, FL, USA, May 1999, IEEE, Vol. 4, pp. 21–40.
   Google Scholar
• Gonzales R. C. and Woods R. E. Digital Image Processing, 2002, 2nd edition (Prentice Hall, Englewood Cliffs, NJ).
   Google Scholar
• Pratt W. K. Digital Image Processing, 1991, 2nd edition (John Wiley & Sons, New York).
   Google Scholar
• Javed O., Shafique K. and Shah M. A hierarchical approach to robust background subtraction using color and gradient information, Proc. IEEE Workshop on Motion and video computing, Orlando, FL, USA, December 2002, IEEE, pp. 22–27.
   Google Scholar
• Stauffer C. and Grimson W. E. L. Adaptive background mixture models for real-time tracking, Proc. IEEE Computer Society Conf. on Computer vision and pattern recognition, Ft Collins, CO, USA, June 1999, IEEE Computer Society, Vol. 2, pp. 246–252.
   Google Scholar
• Gonzales R., Woods R. and Eddins S. Digital Image Processing Using Matlab, 2004 (Prentice Hall, Upper Saddle River, NJ).
   Google Scholar
• Shoaib M., Dragon R. and Ostermann J. Shadow detection for moving humans using gradient based background subtraction, Proc. IEEE Int. Conf. on Acoustics, speech and signal processing: ICASAP 2009, Taipei, Taiwan, April 2009, IEEE, pp. 773–776.
   Google Scholar
• Song X. H., Ding Y., Gen J. F. and Chen Y. Shadow removal of vehicles in a video system based on RGB chroma model, Proc. Int. Conf. on Computer science and software engineering: CSSE 2008, London, UK, December 2008, IEEE, Vol. 1, pp. 977–980.
   Google Scholar
• Feizi S. and Zahedpour S. Salt and pepper noise removal for image signals, Proc. Int. Conf. on Telecommunications: ICT 2008, St Petersburg, Russia, June 2008, IEEE, pp. 1–5.
   Google Scholar
• Potdar V. M., Han S. and Chang E. A survey of digital image watermarking techniques, Proc. 3rd IEEE Int. Conf. on Industrial informatics: INDIN 2005, Perth, WA, Australia, August 2005, IEEE Computer Society, pp. 709–716.
   Google Scholar
• Rakshit S. and Nema M. K. Symmetric residue pyramids: an extension to Burt Laplacian pyramids, Proc. IEEE Int. Conf. on Acoustics, speech and signal processing: ICASAP 2003, Hong Kong, China, April 2003, IEEE, pp. 317–320.
   Google Scholar
• Nema M. K., Rakshit S. and Chaudhuri S. Edge model based high resolution image generation. Lect. Notes Comput. Sci., 2006, 4338, 1–12.
   Google Scholar