Kalman Filter

K. Karmann, A. Von Brandt, “Moving Object Recognition Using an Adaptive Background Memory”, Time-Varying Image Processing and Moving Object Recognition, Elsevier, Amsterdam, The Netherlands, 1990.

M. Kilger, “A Shadow Handler in a Video-based Real-time Traffic Monitoring , System, IEEE Workshop on Applications of Computer Vision, pages 1062 -1066,Palm Springs, CA, 1992.

D. Koller, J. Weber, T. Huang, J. Malik, G. Ogasawara, B. Rao, S. Russell, “Towards Robust Automatic Traffic Scene Analysis in Real-Time”, Proceeding of the 12th International Conference on Pattern Recognition , ICPR 1994, pages 126-131, Jerusalem, October 1994.

C. Ridder, O. Munkelt, H. Kirchner, “Adaptive Background Estimation and Foreground Detection using Kalman-Filtering”, Proceedings of the International Conference on recent Advances in Mechatronics , ICRAM 1995, pages 193-199,1995.

J. Zhong, S. Sclaroff, “Segmenting Foreground Objects from a Dynamic Textured Background via a Robust Kalman Filter”, ICCV 2003, pages 44-50, 2003.

M. Boninsegna, A. Bozzoli, “A tunable algorithm to update a reference image”, Signal Processing: Image Communication, Volume 16, No. 4, pages 353-365, 2000

S. Messelodi , C. Modena , N. Segata, M. Zanin, “A Kalman filter based background updating algorithm robust to sharp illumination changes”, ICIAP 2005, Cagliari, Italy, September 2005.

D. Gao, J. Zhou , L. Xin , “A novel algorithm of adaptive background estimation”, International Conference on Image Processing, ICIP 2001, volume 2, pages 395-398, October 2001.

D. Gao, J. Zhou, “Adaptive Background Estimation for Real-time Traffic Monitoring”, IEEE Intelligent Transportation Systems Conference Proceedings, Oakland, USA, August 2001.

T. Wang, G. Chen, H. Zhou, “A novel background modelling approach for accurate and real-time motion segmentation”, International Conference on Signal Processing , ICSP 2006, Volume 2, 2006.

D. Fan, M. Cao, C. Lv, “An updating method of self-adaptive background for moving objects detection in video”, ICALIP 2008, pages 1497-1501, July 2008.

Z. Kim, “Real Time Object Tracking based on Dynamic Feature Grouping with Background Subtraction” , CVPR 2008, 2008.

H. Yoshimura, Y. Iwai, M. Yachida, “Foreground segmentation by adaptive background estimation and margined sign correlation”, SSR 2006, 2006.

H. Yoshimura, Y. Iwai, M. Yachida, “Object Detection with Adaptive Background Model and Margined Sign Cross Correlation”, International Conference on Pattern Recognition, ICPR 2006, Volume 3, pages 19-23, 2006.

A. Yamamoto, Y. Iwai, M. Yachida, “Real-Time Object Detection with Adaptive Background Model and Margined Sign Correlation”, IEICE Technical Report, Volume 108, No. 327, PRMU 2008, pages 177-184, November 2008.

A. Yamamoto, Y. Iwai, “Real-time object detection with adaptive background model and margined sign correlation”, Asian Conference on Computer Vision, ACCV 2009, Xi’an, China, September 2009.

S. Deshpande, S. Challa, “Robust background estimator using IMM”, International Conference on Information, Decision and Control, IDC 2007, pages 130-135, 2007.

J. Scott, M. Pusateri, D. Cornish, “Kalman filter based video background estimation”, IEEE Applied Imagery Pattern Recognition Workshop, AIPRW 2009, pages 1-7, Washington, USA, October 2009.

F. Lei, X. Zhao, “Adaptive background estimation of underwater using Kalman-filtering”, International Congress on Image and Signal Processing, CISP 2010, Yantai, October 2010.

K. Ahmad, Z. Saad, N. Abdullah, Z. Hussain, M. Mohd Noor, “Moving vehicle segmentation in a dynamic background using self-adaptive Kalman background method”, IEEE International Colloquium on Signal Processing and its Applications, CSPA 2011, 2011.

G. Cinar, J. Principe, “Adaptive Background Estimation using an Information Theoretic Cost for Hidden State Estimation”, International Joint Conference on Neural Networks, IJCNN 2011, San Jose, CA, USA, August 2011.