An efficient combination of RGB and depth for background subtraction
Tác giả
Tài liệu tham khảo
[1] Grimson, W.E.L., Stauffer, C., Romano, R., Lee, L.: Using adaptive tracking to classify and monitor activities in a site. In: Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 22–29. IEEE (1998)
[2] Stauffer, C., Grimson, W.E.L.: Adaptive background mixture models for real-time tracking. In: Computer Vision and Pattern Recognition (1999)
[3] Microsoft: Microsoft kinect: http://www.xbox.com/en-us/xbox360/accessories/kinect (2013)
[4] Camplani, M., Salgado, L.: Background foreground segmentation with RGB-D Kinect data: an efficient combination of classifiers. J. Vis. Commun. Image Represent. (2014)
[5] Schiller, I., Koch, R.: Improved Video Segmentation by Adaptive Combination of Depth Keying. Lecture Notes in Computer Science (Image Analysis), vol. 6688, pp. 59–68 (2011)
[6] Gordon, G., Darrell, T., Harville, M., Woodfill, J.: Background estimation and removal based on range and color. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Number June (1999)
[7] Bouwmans, T.: Recent advanced statistical background modeling for foreground detection—a systematic survey. RPCS 4(3), 147–176 (2011)
[8] Goyette, N., Jodoin, P., Porikli, F., Konrad, J., Ishwar, P.: Changedetection .net: a new change detection benchmark dataset. In: Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 1–8 (2012)
[9] McFarlane, N.J.B., Schofield, C.P.: Segmentation and tracking of piglets in images. Mach. Vis. Appl. 8(3), 187–193 (1995)
[10] Zheng, J., Wang, Y., Nihan, N., Hallenbeck, M.: Extracting roadway background image: mode-based approach. Transp. Res. Rec. 1944(1), 82–88 (2006)
[11] Wren, C., Azarbayejani, A., Darrell, T., Pentland, A.: Pfinder: real-time tracking of the human body. IEEE Trans. Pattern Anal. Mach. Intell. 19(7), 780–785 (1997)
[12] Sigari, M.H., Mozayani, N., Pourreza, H.R.: Fuzzy running average and fuzzy background subtraction: concepts and application. Int. J. Comput. Sci. Netw. Secur. 8(2), 138–143 (2008)
[13] El Baf, F., Bouwmans, T., Vachon, B.: Type-2 fuzzy mixture of Gaussians model: application to background modeling. In: Advances in Visual Computing, pp. 772–781. Springer (2008)
[14] Zhang, H., Xu, D.: Fusing color and texture features for background model. In: Fuzzy Systems and Knowledge Discovery: Third International Conference, vol. 3, pp. 887–893 (2006)
[15] El Baf, F., Bouwmans, T., Vachon, B.: Fuzzy integral for moving object detection. In: 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence), June 2008, vol. 1, pp. 1729–1736. IEEE (2008)
[16] Butler, D., Sridharan, S., Jr., V.M.B.: Real-time adaptive background segmentation. In: IEEE International Conference on Acoustics, Speech, and Signal Processing, III-349 (2003)
[17] Kim, K., Chalidabhongse, T.H., Harwood, D., Davis, L.: Real-time foreground-background segmentation using codebook model. Real-Time Imaging 11(3), 172–185 (2005)
[18] Culibrk, D., Marques, O., Socek, D., Kalva, H., Furht, B.: Neural network approach to background modeling for video object segmentation. IEEE Trans. Neural Netw./A Publ. IEEE Neural Netw. Counc. 18(6), 1614–1627 (2007)
[19] Messelodi, S., Modena, C.M., Segata, N., Zanin, M.: A Kalman filter based background updating algorithm robust to sharp illumination changes. In: Image Analysis and Processing, ICIAP 2005, pp. 163–170 (2005)
[20] Toyama, K., Krumm, J., Brumitt, B., Meyers, B.: Wallflower: principles and practice of background maintenance. In: The Proceedings of the Seventh IEEE International Conference on Computer Vision, pp. 255–261 (1999)
[21] Stormer, A., Hofmann, M., Rigoll, G.: Depth gradient based segmentation of overlapping foreground objects in range images. In: 13th Conference on Information Fusion (FUSION), pp. 1–4 (2010)
[22] Frick, A., Kellner, F., Bartczak, B., Koch, R.: Generation of 3D-TV LDV-content with time-of-flight camera. In: 3DTV Conference: The True Vision-Capture, Transmission and Display of 3D Video, vol. 2, pp. 1–4 (2009)
[23] Fernandez-Sanchez, E.J., Diaz, J., Ros, E.: Background subtraction based on color and depth using active sensors. Sensors (Basel, Switzerland) 13(7), 8895–8915 (2013)
[24] McGuinness, K., OConnor, N.E.: A comparative evaluation of interactive segmentation algorithms. Pattern Recognit. 43(2), 434–444 (2010)