Color-Disparity (2 papers)
C. Eveland, K. Konolige, R. Bolles, “Background modeling for segmentation of video-rate stereo sequences”, IEEE Computer Vision and Pattern Recognition, CVPR 1998, pages 266-271, Santa Barbara, USA, June 1998.
G. Gordon, T. Darrell, M. Harville, J. Woodfill, “Background estimation and removal based on range and color”, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR 1999,Volume 2, pages 459-464, Ft. Collins, USA, June 1999.
Color-Depth (24 papers)
1. Stereo Cameras (3 papers)
M. Harville, G. Gordon, J. Woodfill, “Foreground segmentation using adaptive mixture models in color and depth”, Workshop on Detection and Recognition of Events in Video, Vancouver, Canada, July 2001.
M. Harville, G. Gordon, J. Woodfill, “Adaptive background subtraction using color and depth”, IEEE International Conference on Image Processing, ICIP 2001, Thessaloniki, Greece, October 2001.
M. Harville, “A framework for high-level feedback to adaptive, per-pixel, mixture-of-Gaussian background models”, European Conference on Computer Vision, ECCV 2002, Copenhagen, Denmark, May 2002.
2. Time of Flight (ToF) (6 papers)
D. Silvestre, “Video surveillance using a time-of-light camera”, Master Thesis, Informatics and Mathematical Modelling, University of Denmark, 2007.
B. Langmann, K. Hartmann, O. Loffeld, “Depth Assisted Background Subtraction for Color Capable ToF-Cameras”, International Conference on Image and Video Processing and Computer Vision, IVPCV 2010, pages 75-82, Orlando, USA, July 2010,
B. Langmann, S. Ghobadi, K. Hartmann, O. Loffeld, “Multi-Model Background Subtraction using Gaussian Mixture Models”, Symposium on Photogrammetry Computer Vision and Image Analysis, PCV 2010, pages 61-66, 2010.
A. Stormer, M. Hofmann, G. Rigoll, "Depth gradient based segmentation of overlapping foreground objects in range images", IEEE Conference on Information Fusion, pages 1-4, 2010.
J. Leens, O. Barnich, S. Pierard, M. Van Droogenbroeck, J. Wagner, "Combining color, depth, and motion for video segmentation", Computer Vision Systems, pages 104-113, 2009.
L. Hu, L. Duan, X. Zhang, J. Yang, "Moving Object Detection Based on the Fusion of Color and Depth Information", Journal of Electronics and Information Technology, Volume 36, No. 9, pages 2047-2051, September 2014.
3. Microsoft Kinect (15 papers)
M. Camplani, L. Salgado, “Background Foreground segmentation with RGB-D Kinect data: an efficient combination of classifiers”, Journal on Visual Communication and Image Representation, 2013.
M. Camplani, T. Mantecon, L. Salgado, "Depth-Color Fusion Strategy for 3D scene modeling with Kinect", IEEE Transaction on Cybernetics, 2013.
M. Camplani, C. Blanco, L. Salgado, F. Jaureguizar, N. García, "Multi-sensor background subtraction by fusing multiple region-based probabilistic classifiers",
Pattern Recognition Letters, 2013.
M. Camplani, C. Blanco, L. Salgado, F. Jaureguizar, N. García, "Advanced background modeling with RGB-D sensors through classifiers combination and inter-frame foreground prediction", Machine Vision and Applications, 2014.
C. Blanco, T. Mantecon, M. Camplani, F. Jaureguizar, L. Salgado, N. García, "Foreground Segmentation in Depth Imagery Using Depth and Spatial Dynamic Models for Video Surveillance Applications", Sensors 2014, 2014.
M. Camplani, A. Blasco, D. Berjon, L. Salgado, F. Moran, "Real-time RGB-D data processing on GPU architecture", IEEE International on Design and Architectures for Signal and Image Processing, DASIP 2013, October 2013.
E. Fernandez-Sanchez, J. Diaz, E. Ros, “Background Subtraction Based on Color and Depth Using Active Sensors”, Sensors, Volume 13, pages 8895-8915, 2013.
E. Fernandez-Sanchez, L. Rubio, J. Diaz, E. Ros, "Background subtraction model based on color and depth cues", Machine Vision and Applications, 2014.
J. Gallego, M. Pardas, “Region Based Foreground Segmentation Combining Color and Depth Sensors via Logarithmic Opinion Pool Decision”, Journal of Visual Communication and Image Representation, April 2013.
K. Greff, A. Brandao, S., Krauss, D. Stricker, E. Clua, “A Comparison Between Background Subtraction Algorithms using a Consumer Depth Camera”, International Conference on Computer Vision Theory and Applications , 2012
S. Ottonelli,P. Spagnolo, P. Mazzeo, M. Leo, "Foreground segmentation by combining color and depth images", Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2013, June 2013.
S. Ottonelli, P. Spagnolo, P. Mazzeo, M. Leo, "Improved Video Segmentation with Color and Depth using a Stereo Camera", IEEE International Conference on Industrial Technology, ICIT 2013, February 2013.
C. Spampinato, S. Palazzo, D. Giordano, “Kernel Density Estimation Using Joint Spatial-Color-Depth Data for Background Modeling”, International Conference on Pattern Recognition, ICPR 2014, 2014.
Y. Song, S. Noh, J. Yu, C. Park, B. Lee, “Background Subtraction based on Gaussian Mixture Models using Color and Depth Information”, International Conference on Control, Automation and Information Sciences, ICCAIS 2014, pages 117-120, December 2014.
Z. Liang, X. Liu, H. Liu, W. Chen, "A refinement framework for background subtraction based on color and depth data", IEEE International Conference on Image Processing, ICIP 2016, 2016.