Recent Papers

Listed below are some recently published papers by M.Hayes and his students. For a complete list, click here.

Journal Papers

  1. S. Vemulapalli and M.H. Hayes, "Audio-video based handwritten mathematical content recognition in classroom videos," Integrated Computer-Aided Engineering, vol. 21, no. 3, pp. 219-234, 2014.
  2. S. Lee, M. Hayes, and J. Paik, "Distance estimation using a single computational camera with dual off-axis color filtered apertures," Optics Express, Vol. 21, Issue 20, pp. 23116-23129, Oct. 2013.
  3. S. Lee, M. Hayes, and J. Paik, "Modified particle filtering for unstable handheld camera-based object tracking," IEEK Transactions Smart Processing and Computing, vol. 1, no. 2, p. 78-87, Oct. 2012.
  4. S. Kim, E. Lee, M.H. Hayes, and J. Paik, "Multifocusing and depth estimation using a color shift model-based computational camera," IEEE Transactions on Image Processing, vol. 21, Issue 9, pp. 4152-4166, Sept. 2012.
  5. A. Borkar, M.H. Hayes, and M. Smith, "A novel lane detection system with efficient ground truth generation," IEEE Transactions on Intelligent Transportation Systems, vol. 13, no. 1, March 2012, p. 365-374.
  6. S. Lee, J. Lee, M.H. Hayes, J. Paik, "Adaptive background generation for automatic detection of Initial object region in multiple color-filter aperture camera-based surveillance system," IEEE Transactions on Consumer Electronics, vol. 58, no. 1, Feb. 2012, p. 104-110.
  7. Yoon, S. Kim, D. Kim, M.H. Hayes, J. Paik, "Adaptive defogging with color correction in the HSV color space for consumer surveillance system," IEEE Transactions on Consumer Electronics, vol. 58, no. 1, Feb. 2012, p. 111-116.
  8. J. Im, J. Jeon, M. Hayes, and J. Paik, “Single image-based ghost-free high dynamic range imaging using local histogram stretching and spatially-adaptive denoising,� IEEE Transactions on Consumer Electronics, vol. 57, no. 4, Nov. 2011, p. 1478-1484.

Conference Papers

    1. S. Lee, M.H. Hayes, and J. Paik, “Three-dimensional object direction and velocity estimation using a single computational RGB-D camera,� submitted to International Conference Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, May 2014.

      C. Nyirarugira, T.Y. Kim, M.H. Hayes, H.R. Choi, and J,Y. Kim, "Modified Levenshtein distance for real-time gesture recognition," International Congress on Image and Signal Processing (CISP 2013), Hangzhou, China, Dec. 2013.
    2. S. Mok, J. Jeon, M.H. Hayes, and J. Paik, "Participating interface," ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia, Hong Kong, Nov. 2013.
    3. S. Lee, J. Paik, and M. Hayes, "Distance estimation with a two or three aperture SLR digital camera," Springer Lecture Notes in Computer Science - Advanced Concepts for Intelligent Vision Systems, Oct. 2013.
    4. S. Lee, J. Paik, and M. Hayes, "Stereo image capture and distance estimation with an SLR digital camera," IASTED International Conference on Signal and Image Processing, Banff, Canada, July 2013
    5. S. Vemulapalli and M. Hayes, "Grammar-assisted audio-video equation recognition," International Conference on Digital Signal Processing, Santorini, Greece, July 2013.

    6. I. Yoon, M. Hayes, and J. Paik, "Wavelength-adaptive emage formation model and geometric classification for defogging unmanned aerial vehicle images," IEEE International Conference on Acoustics, Speech, and Sig. Proc., Vancouver, Canada, May 2013.

    7. J. Im, I. Yoon, M. Hayes, and J. Paik, "Dark channel prior-based spatially adaptive contrast enhancement for backlighting compensation," IEEE International Conference on Acoustics, Speech, and Sig. Proc., Vancouver, Canada, May 2013.

    8. S. Lee, N. Kim, K. Jung, M. Hayes, and J. Paik, "Single image-based depth estimation using dual off-axis color filtered aperture camera," IEEE International Conference on Acoustics, Speech, and Sig. Proc., Vancouver, Canada, May 2013.
    9. N. Kim, S. Lee, E. Chon, M. Hayes, and J. Paik, "Adaptively partitioned block-based backlit image enhancement for consumer mobile devices," International Conference on Consumer Electronics, Las Vegas, NV, Jan. 2013.

    10. S. Lee, N. Kim, Inho Paik, M. Hayes, and J. Paik, "Moving object detection using unstable camera for consumer surveillance systems," International Conference on Consumer Electronics, Las Vegas, NV, Jan. 2013.

    11. J. Jeon, J. Lee, E. Lee, M. Hayes, and J. Paik, "Regularized adaptive super-resolution using kernel estimation-based edge reconnection and kernel orientation constraints," IEEE International Conference on Image Processing, Orlando, FL, Oct. 2012.

    12. R. Rahmat, A.S. Mallik, N. Kamel, T.-S. Choi, and M.H. Hayes, “3D shape from focus using LULU operators,� Springer Lecture Notes in Computer Science - Advanced Concepts for Intelligent Vision Systems, Sept. 2012.
    13. S. Lee, J. Lee, M. H. Hayes, A.K. Katsaggelos, and J. Paik, "Single camera-based full depth map estimation using color shifting property of a multiple color-filter aperture," IEEE International Conference on Acoustics,  Speech, and Signal Processing (ICASSP), Kyoto, Japan, April 2012.
    14. S. Kim, I. Yoon, D. Kim, M.H. Hayes, and J. Paik, "Selective frequency decomposition in the wavelet domain for single image-based super-resolution," IEEE International Conference Consumer Electronics, Las Vegas, NV., January 2012, p.124-125.
    15. I. Yoon, S. Kim, D. Kim, M.H. Hayes, and J. Paik, "Adaptive defogging with color correction in the HSV color space for consumer video surveillance systems," IEEE International Conference Consumer Electronics, Las Vegas, NV., January 2012, pp. 606-607.
    16. J. Lee, S. Lee, I. Paik, M. Hayes, and J. Paik, "Adaptive background generation for automatic detection of initial object region in multiple color-filter aperture camera-based surveillance system," IEEE International Conference Consumer Electronics, Las Vegas, NV.,  January 2012, pp. 195-196.
    17. S. Lee, J. Lee, E. Chon, M.H. Hayes, and J. Paik, "Moving object segmentation using motion orientation histogram in adaptively partitioned blocks for consumer surveillance system," IEEE International Conference Consumer Electronics, Las Vegas, NV., January 2012, pp. 198-199.
    18. S. Vemulapalli and M.H. Hayes, “Synchronization and combination techniques for audio-video based handwritten mathematical content recognition in classroom videos,� International Conference on Intelligent Systems Design and Applications, Cordoba, Spain, November 2011.
    19. A. Borkar, M.H. Hayes, and M. Smith, "A new multi-camera approach for lane departure warning," Springer Lecture Notes in Computer Science - Advanced Concepts for Intelligent Vision Systems, August 2011.
    20. S. Vemulapalli and M.H. Hayes, “Towards audio-video based handwritten mathematical content recognition in classroom videos,� IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, August 2011, Victoria, Canada.
    21. A. Borkar, M.H. Hayes, M. Smith. "A non-overlapping camera network: Calibration and application towards lane departure warning," International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV 2011), Las Vegas, July 2011.
    22. S. Vemulapalli and M.H. Hayes, “Ambiguity detection methods for improving handwritten mathematical character recognition accuracy in classroom videos," International Conference of Digital Signal Processing (DSP2011), Corfu, Greece, July 2011.
    23. A. Borkar, M.H. Hayes, and M. Smith, “Polar randomized transform for lane detection using loose constraints of parallel lines,� IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, May 2011.
    24. A. Borkar, M.H. Hayes, and M. Smith, “Detecting lane markers in a complex environment using a single camera approach,� IASTAD International Conference on Signal Processing, Pattern Recognition, and Applications, Innsbruck, Austria, February, 2011.
    25. A. Borkar, M.H. Hayes, and M. Smith, “Lane detection using constraints of parallel lines", International Conference on Consumer Electronics, Las Vegas, NV, January 2011.
    26. A. Borkar, M.H. Hayes, and M. Smith, “A template matching and ellipse modeling approach to detecting lane markers," International. Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2010), Sydney, Australia, p. 179-190, Dec. 2010
    27. A. Borkar, M.H. Hayes, and M. Smith, “Detecting lane markers in complex urban environments," IEEE International Workshop on Intelligent Vehicular Networks, San Francisco, CA, Nov. 2010
    28. S. Vemulapalli and M.H. Hayes, “Using audio-based disambiguation for improving handwritten mathematical content recognition in classroom videos,� IAPR International Workshop on Document Analysis Systems, Boston, MA., June 2010.
    29. A. Borkar, M. Hayes, M. Smith. "An efficient method to generate ground truth for evaluating lane detection systems," IEEE International Conference on Acoust., Speech, and Signal Processing, Dallas, TX., April 2010.

 

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