L. Agapito, E. Hayman, and E. I. Reid, Linear self-calibration of a rotating and zooming camera, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), pp.107-127, 2001.
DOI : 10.1109/CVPR.1999.786911

K. Alahari, P. Kohli, and P. H. Torr, Reduce, reuse & recycle: Efficiently solving multi-label MRFs, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008.
DOI : 10.1109/CVPR.2008.4587402

K. Alahari, P. Kohli, and P. H. Torr, Dynamic Hybrid Algorithms for MAP Inference in Discrete MRFs, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.10, pp.1846-1857, 2010.
DOI : 10.1109/TPAMI.2009.194

URL : https://hal.archives-ouvertes.fr/hal-01216727

S. Alpert, M. Galun, R. Basri, and E. A. Brandt, Image segmentation by probabilistic bottom-up aggregation and cue integration, Computer Vision and Pattern Recognition CVPR '07. IEEE Conference on, 2007.
DOI : 10.1109/cvpr.2007.383017

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.120.1687

P. Azzari, L. D. Stefano, and E. A. Bevilacqua, An effective realtime mosaicing algorithm apt to detect motion through background subtraction using a ptz camera, AVSS, 2005.

H. Bay, A. Ess, T. Tuytelaars, and . Et-luc-van-gool, Surf : Speeded up robust features, CVIU, 2008.
DOI : 10.1007/11744023_32

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.679.3046

A. Bayona, J. C. Sanmiguel, and J. M. Martinez, Comparative Evaluation of Stationary Foreground Object Detection Algorithms Based on Background Subtraction Techniques, 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, pp.25-30, 2009.
DOI : 10.1109/AVSS.2009.35

A. Bayona, J. C. Sanmiguel, and J. M. Martinez, Stationary foreground detection using background subtraction and temporal difference in video surveillance [10] A. Bevilacqua et P. Azzari. High-quality real time motion detection using ptz cameras, Image Processing 17th IEEE International Conference on Proc. IEEE International Conference on Video and Signal Based Surveillance AVSS '06, pp.4657-4660, 2006.

A. Bevilacqua, L. D. Stefano, and E. A. Lanza, An efficient change detection algorithm based on a statistical nonparametric camera noise model, Proc. International Conference on Image Processing ICIP '04, pp.2347-2350, 2004.

M. D. Beynon, D. J. Van-hook, M. Seibert, A. Peacock, and D. Dudgeon, Detecting abandoned packages in a multi-camera video surveillance system, Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 2003., p.221, 2003.
DOI : 10.1109/AVSS.2003.1217925

M. Bhargava, C. Chen, M. S. Ryoo, and J. K. Aggarwal, Detection of abandoned objects in crowded environments, 2007 IEEE Conference on Advanced Video and Signal Based Surveillance, 2007.
DOI : 10.1109/AVSS.2007.4425322

K. Bhat, M. Saptharishi, K. Et-pradeep, and . Khosla, Motion detection and segmentation using image mosaics, 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532), 2000.
DOI : 10.1109/ICME.2000.871070

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.123.1792

T. Bouwmans, B. Baf, and . Vachon, Background Modeling using Mixture of Gaussians for Foreground Detection -A Survey, Recent Patents on Computer Science, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00338206

Y. Boykov, O. Veksler, and E. R. Zabih, Fast approximate energy minimization via graph cuts. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.23, issue.11, pp.1222-1239, 2001.
DOI : 10.1109/iccv.1999.791245

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.112.6806

Y. Boykov and G. Funka-lea, Graph Cuts and Efficient N-D Image Segmentation, International Journal of Computer Vision, vol.18, issue.9, pp.109-131, 2006.
DOI : 10.1007/s11263-006-7934-5

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.90.657

Y. Boykov and V. Kolmogorov, An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.9, pp.1124-1137, 2004.
DOI : 10.1109/TPAMI.2004.60

Y. Y. Boykov and M. Jolly, Interactive graph cuts for optimal boundary amp ; region segmentation of objects in n-d images, Computer Vision Proceedings. Eighth IEEE International Conference on, pp.105-112, 2001.

C. R. Brice and C. L. Fennema, Scene analysis using regions, Artificial Intelligence, vol.1, issue.3-4, 1970.
DOI : 10.1016/0004-3702(70)90008-1

T. Brox and J. Weickert, Level Set Based Image Segmentation with Multiple Regions, Proceedings of 26th DAGM, pp.415-423, 2004.
DOI : 10.1007/978-3-540-28649-3_51

Y. Chen, C. Chen, C. Huang, and Y. Hung, Efficient hierarchical method for background subtraction, Pattern Recognition, 2007.
DOI : 10.1016/j.patcog.2006.11.023

R. Cipolla, K. E. Astrom, and P. J. Giblin, Motion from the frontier of curved surfaces, Proceedings of IEEE International Conference on Computer Vision, pp.269-275, 1995.
DOI : 10.1109/ICCV.1995.466775

R. Cucchiara, A. Prati, and R. Vezzani, Advanced video surveillance with pan tilt zoom cameras, Proc. of Workshop on Visual Surveillance (VS) at ECCV, 2006.

J. Davis and X. Chen, Calibrating pan-tilt cameras in wide-area surveillance networks, Proceedings Ninth IEEE International Conference on Computer Vision, p.144, 2003.
DOI : 10.1109/ICCV.2003.1238329

A. Del-bimbo, F. Dini, A. Grifoni, and F. Pernici, Exploiting single view geometry in pan-tilt-zoom camera networks, Proc. of ECCV Int.'l Workshop on Multi-camera and Multi-modal Sensor Fusion (M2SFA2), 2008.
URL : https://hal.archives-ouvertes.fr/inria-00326775

A. Dervieux and F. Thomasset, A finite element method for the simulation of a Rayleigh-Taylor instability, Approximation Methods for Navier-Stokes Problems, R. Rautman, 1979.
DOI : 10.1016/0021-9991(79)90086-X

X. Descombes, R. Minlos, and E. Zhizhina, Object Extraction Using a Stochastic Birth-and-Death Dynamics in Continuum, Journal of Mathematical Imaging and Vision, vol.21, issue.3, pp.347-359, 2009.
DOI : 10.1007/s10851-008-0117-y

URL : https://hal.archives-ouvertes.fr/inria-00422411

Y. Dhome, N. Tronson, A. Vacavant, T. Chateau, C. Gabard et al., A benchmark for Background Subtraction Algorithms in monocular vision: A comparative study, 2010 2nd International Conference on Image Processing Theory, Tools and Applications, 2010.
DOI : 10.1109/IPTA.2010.5586792

URL : https://hal.archives-ouvertes.fr/hal-01295917

O. Richard, . Duda, E. Peter, and . Hart, Pattern Classification and Scene Analysis, 1973.

A. Elgammal, D. Harwood, . Et-larry-davis-khaled, and . Sumaya, Nonparametric model for background subtraction Moving Object Detection in Spatial Domain using Background Removal Techniques -State-of-Art, FRAME-RATE WORKSHOP, IEEE, pp.751-76732, 2000.

F. Pedro, . Felzenszwalb, P. Daniel, and . Huttenlocher, Efficient graph-based image segmentation, International Journal of Computer Vision, vol.59, issue.2, pp.167-181, 2004.

F. Fleuret, J. Berclaz, R. Lengagne, and E. P. Fua, Multicamera people tracking with a probabilistic occupancy map. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.30, issue.2, pp.267-282, 2008.
DOI : 10.1109/tpami.2007.1174

URL : http://infoscience.epfl.ch/record/145991

L. R. Ford and D. R. Fulkerson, Maximal flow through a network, Journal canadien de math??matiques, vol.8, issue.0, pp.399-404, 1956.
DOI : 10.4153/CJM-1956-045-5

J. Freixenet, X. Mu-noz, D. Raba, J. Martã, and E. X. Cufã, Yet Another Survey on Image Segmentation: Region and Boundary Information Integration, ECCV, pp.408-422, 2002.
DOI : 10.1007/3-540-47977-5_27

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.98.5539

A. Gardel, J. L. Lázaro, and E. J. Lavest, INFLUENCE OF MECHANICAL ERRORS IN A ZOOM CAMERA, Image Analysis & Stereology, vol.22, issue.1, 2003.
DOI : 10.5566/ias.v22.p21-25

S. Geman and D. Geman, Stochastic relaxation, gibbs distributions , and the bayesian restoration of images. Pattern Analysis and Machine Intelligence, IEEE Transactions, issue.66, pp.721-741, 1984.

D. M. Greig, B. T. Porteous, and A. H. Seheult, Exact Maximum A Posteriori Estimation for Binary Images, In Journal International Journal of Computer Vision, 1989.

C. Guillot, M. Taron, P. Sayd, Q. Pham, C. Tilmant et al., Background Subtraction for PTZ Cameras Performing a Guard Tour and Application to Cameras with Very Low Frame Rate, ACCV, Visual Surveillance workshop, 2010.
DOI : 10.1007/978-3-642-22822-3_4

S. Guler, J. A. Silverstein, and I. H. Pushee, Stationary objects in multiple object tracking, 2007 IEEE Conference on Advanced Video and Signal Based Surveillance, 2007.
DOI : 10.1109/AVSS.2007.4425318

B. Han and R. Jain, Real-Time Subspace-Based Background Modeling Using Multi-channel Data, Proceedings of the 3rd international conference on Advances in visual computing -Volume Part II, ISVC'07, pp.162-172, 2007.
DOI : 10.1007/978-3-540-76856-2_16

C. Harris and M. Stephens, A Combined Corner and Edge Detection, Proceedings of The Fourth Alvey Vision Conference, pp.147-151, 1988.

J. Hart, B. Scassellati, and S. W. Zucker, Epipolar geometry for humanoid robotic heads. ICVW, 2008.
DOI : 10.1007/978-3-540-92781-5_3

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.146.1741

R. I. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2004.
DOI : 10.1017/CBO9780511811685

M. Heikkil㤠and M. Pietikã¤inen, A texture-based method for modeling the background and detecting moving objects, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.4, pp.657-662, 2006.
DOI : 10.1109/TPAMI.2006.68

K. P. Berthold and . Horn, Closed-form solution of absolute orientation using unit quaternions, Journal of the Optical Society of America A, vol.4, issue.4, pp.629-642, 1987.

A. Jain, D. Kopell, K. Kakligian, . Et-yuan, and . Wang, Using stationary dynamic camera assemblies for wide-area video surveillance and selective attention, IEEE Conference on Computer Vision and Pattern Recognition, 2006.

R. C. Jain and H. H. Nagel, On the Analysis of Accumulative Difference Pictures from Image Sequences of Real World Scenes, PAMI, 1979.
DOI : 10.1109/TPAMI.1979.4766907

R. Jonker and A. Volgenant, Ein Algorithmus mit k??rzesten alternierenden Wegen f??r dichte und d??nne Zuordnungsprobleme, Computing, vol.1, issue.4, pp.325-340, 1987.
DOI : 10.1007/BF02278710

I. Junejo and H. Foroosh, Optimizing PTZ camera calibration from two images, Machine Vision and Applications, pp.1-15, 2011.
DOI : 10.1007/s00138-011-0326-z

M. Kass, A. Witkin, and D. Terzopoulos, Snakes: Active contour models, International Journal of Computer Vision, vol.5, issue.6035, pp.321-331, 1988.
DOI : 10.1007/BF00133570

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.124.5318

S. M. Khan and M. Shah, Tracking multiple occluding people by localizing on multiple scene planes. Pattern Analysis and Machine Intelligence, IEEE Transactions, 2009.

K. Kim, T. H. Chalidabhongse, D. Harwood, and E. L. Davis, Background modeling and subtraction by codebook construction, ICIP, 2004. [55] Ross Kindermann et J. L. Snell. Markov Random Fields and Their Applications (Contemporary Mathematics, 1980.

P. Kohli and P. H. Torr, Efficiently solving dynamic Markov random fields using graph cuts, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, pp.922-929, 2005.
DOI : 10.1109/ICCV.2005.81

V. Kolmogorov and R. Zabin, What energy functions can be minimized via graph cuts ? Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.26, issue.2, pp.147-159, 2004.

V. Kolmogorov, Convergent Tree-Reweighted Message Passing for Energy Minimization, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.10, pp.1568-1583, 2006.
DOI : 10.1109/TPAMI.2006.200

I. Kovtun, Partial Optimal Labeling Search for a NP-Hard Subclass of (max,+) Problems, Pattern Recognition, pp.402-409, 2003.
DOI : 10.1007/978-3-540-45243-0_52

H. W. Kuhn, The Hungarian method for the assignment problem, Naval Research Logistics Quarterly, vol.3, issue.1-2, pp.83-97, 1955.
DOI : 10.1002/nav.3800020109

L. Li and M. K. Leung, Integrating intensity and texture differences for robust change detection, Image Processing IEEE Transactions on, vol.11, issue.2, pp.105-112, 2002.

M. Li and J. Lavest, Some aspects of zoom lens camera calibration. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.18, issue.11, 1996.

Y. Li-tian, R. Feris, . Et-arun, and . Hampapur, Real-time detection of abandoned and removed objects in complex environments, Eight International Workshop on Visual Surveillance, 2008.

Y. Li-tian, M. Lu, . Et-arun, and . Hampapur, Robust and efficient foreground analysis for real-time video surveillance, Computer Vision and Pattern Recognition, pp.1182-1187, 2005.

H. Liao, J. Chang, and . Et-liang-gee-chen, A localized approach to abandoned luggage detection with foreground-mask samplingxo, Advanced Video and Signal Based Surveillance AVSS '08. IEEE Fifth International Conference on, 2008.
DOI : 10.1109/avss.2008.9

G. David and . Lowe, Distinctive image features from scale-invariant keypoints, International Journal of Computer Vision, vol.60, issue.2, p.91, 2004.

B. D. Lucas and T. Kanade, An iterative image registration technique with an application to stereo vision, IJCAI81, pp.674-679, 1981.

F. Lv, X. Song, B. Wu, V. Kumar, . Et-singh-ramakant et al., Left luggage detection using bayesian inference, PETS, 2006.

F. Lv, X. Song, B. Wu, V. Kumar, . Et-singh-ramakant et al., Left luggage detection using bayesian inference, PETS, 2006.

R. Malladi, J. A. Sethian, and B. C. Vemuri, Shape modeling with front propagation : a level set approach. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.17, issue.2, pp.158-175, 1995.
DOI : 10.1109/34.368173

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.131.6656

R. Mathew, Z. Yu, and J. Zhang, Detecting New Stable Objects In Surveillance Video, 2005 IEEE 7th Workshop on Multimedia Signal Processing, pp.1-4, 2005.
DOI : 10.1109/MMSP.2005.248578

C. Micheloni, B. Rinner, and G. L. Foresti, Video Analysis in Pan-Tilt-Zoom Camera Networks, IEEE Signal Processing Magazine, vol.27, issue.5, pp.78-90, 2010.
DOI : 10.1109/MSP.2010.937333

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.464.1668

R. Miezianko and D. Pokrajac, Localization of detected objects in multi-camera network, 2008 15th IEEE International Conference on Image Processing, pp.2376-2379, 2008.
DOI : 10.1109/ICIP.2008.4712270

K. Mikolajczyk and C. Schmid, A performance evaluation of local descriptors, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.10, pp.1615-1630, 2005.
DOI : 10.1109/TPAMI.2005.188

URL : https://hal.archives-ouvertes.fr/inria-00548227

J. Mille, R. Bone, P. Makris, and E. H. Cardot, Greedy Algorithm and Physics-Based Method for Active Contours and Surfaces: A Comparative Study, 2006 International Conference on Image Processing, pp.1645-1648, 2006.
DOI : 10.1109/ICIP.2006.312621

URL : https://hal.archives-ouvertes.fr/hal-01026286

A. Mittal and N. Paragios, Motion-based background subtraction using adaptive kernel density estimation, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., pp.302-309, 2004.
DOI : 10.1109/CVPR.2004.1315179

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.480

J. Moussouris, Gibbs and Markov random systems with constraints, Journal of Statistical Physics, vol.5, issue.13, pp.11-33, 1974.
DOI : 10.1007/BF01011714

D. Nistér, An efficient solution to the five-point relative pose problem, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.6, pp.756-777, 2004.
DOI : 10.1109/TPAMI.2004.17

P. Noriega, B. Bascle, and O. Bernier, Local kernel color histograms for background suntraction, VISAPP, 2006.

P. Noriega and O. Bernier, Real Time Illumination Invariant Background Subtraction Using Local Kernel Histograms, Procedings of the British Machine Vision Conference 2006, 2006.
DOI : 10.5244/C.20.100

R. Ohlander, K. Price, and E. D. Reddy, Picture segmentation using a recursive region splitting method, Computer Graphics and Image Processing, vol.8, issue.3, pp.313-333, 1978.
DOI : 10.1016/0146-664X(78)90060-6

N. M. Oliver, B. Rosario, and A. P. Pentland, A bayesian computer vision system for modeling human interactions. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.22, issue.8, pp.831-843, 2000.
DOI : 10.1007/3-540-49256-9_16

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.132.3753

S. Osher and J. A. Sethian, Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations, Journal of Computational Physics, vol.79, issue.1, pp.12-49, 1988.
DOI : 10.1016/0021-9991(88)90002-2

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.413.5254

M. Péchaud, tutorial : Introduction aux graphcut en vision par ordinateur, 2006.

M. Piccardi, Background subtraction techniques : a review In Systems , Man and Cybernetics, IEEE International Conference on, pp.3099-3104, 2004.

F. Porikli, Achieving real-time object detection and tracking under extreme conditions, Journal of Real-Time Image Processing, vol.29, issue.1, 2006.
DOI : 10.1007/s11554-006-0011-z

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.417.5394

F. Porikli, Y. Ivanov, and T. Haga, Robust Abandoned Object Detection Using Dual Foregrounds, EURASIP Journal on Advances in Signal Processing, vol.2008, 2008.
DOI : 10.1016/S0031-3203(96)00107-0

URL : http://doi.org/10.1155/2008/197875

L. Robinault, S. Bres, and S. Miguet, Real time foreground object detection using ptz camera, VISAPP, 2009.
URL : https://hal.archives-ouvertes.fr/hal-01437706

C. Rother, V. Kolmogorov, and A. Blake, grabcut" : interactive foreground extraction using iterated graph cuts, ACM SIGGRAPH 2004 Papers, SIGGRAPH '04, pp.309-314, 2004.

J. Rymel, J. Renno, D. Greenhill, J. Orwell, and G. A. Jones, Adaptive eigen-backgrounds for object detection, 2004 International Conference on Image Processing, 2004. ICIP '04., pp.1847-1850, 2004.
DOI : 10.1109/ICIP.2004.1421436

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.99.4948

J. C. San-miguel and J. M. Martinez, Robust Unattended and Stolen Object Detection by Fusing Simple Algorithms, 2008 IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance, 2008.
DOI : 10.1109/AVSS.2008.16

K. Sankaranarayanan and J. W. Davis, PTZ Camera Modeling and Panoramic View Generation via Focal Plane Mapping, Proceedings of the 10th Asian conference on Computer vision -Volume Part II, ACCV'10, pp.580-593, 2011.
DOI : 10.1145/358669.358692

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.185.1669

J. Shi and J. Malik, Normalized cuts and image segmentation, IEEE Trans. Pattern Anal. Mach. Intell, vol.22, issue.8, pp.888-905, 2000.

S. Sinha, S. N. Sinha, and M. Pollefeys, Towards calibrating a pan-tilt-zoom camera network, Workshop on Omnidirectional Vision and Camera Networks at ECCV, 2004.

C. Stauffer and W. E. Grimson, Adaptive background mixture models for real-time tracking, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), 1999.
DOI : 10.1109/CVPR.1999.784637

R. Szeliski, Computer vision : Algorithms and applications, 2010.
DOI : 10.1007/978-1-84882-935-0

K. Toyama, J. Krumm, B. Brumitt, and E. B. Meyers, Wallflower: principles and practice of background maintenance, Proceedings of the Seventh IEEE International Conference on Computer Vision, pp.255-261, 1999.
DOI : 10.1109/ICCV.1999.791228

M. Trajkovic, Interactive Calibration of a Pan-Tilt-Zoom (PTZ) Camera for Surveillance Applications, Asian Conference Computer Vision, 2002.

R. Trichet and B. Mérialdo, Keypoints labeling for backgroung substraction in tracking applications, 2008 IEEE International Conference on Multimedia and Expo, p.6, 2008.
DOI : 10.1109/ICME.2008.4607681

A. Utasi, . Cs, and . Benedek, A 3-D marked point process model for multi-view people detection, CVPR 2011, 2011.
DOI : 10.1109/CVPR.2011.5995699

A. Utasi and B. Csaba, Multi-camera People Localization and Height Estimation Using Multiple Birth-and-Death Dynamics, ACCV workshop on Visual Surveillance, 2010.
DOI : 10.1007/978-3-642-22822-3_8

B. Valentine, S. Apewokin, L. Wills, S. Wills, A. Gentile-zhang et al., Midground object detection in real world video scenes Stationary target detection using the objectvideo surveillance system, Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance IEEE Computer Society. [103] P.L. Venetianer Advanced Video and Signal Based Surveillance AVSS 2007. IEEE Conference on, pp.517-522, 2007.

J. A. Vijverberg, M. J. Loomans, C. J. Koeleman, and P. H. De-with, Global Illumination Compensation for Background Subtraction Using Gaussian-Based Background Difference Modeling, 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, pp.448-453, 2009.
DOI : 10.1109/AVSS.2009.101

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.3429

D. Wan and J. Zhou, Stereo vision using two PTZ cameras, Computer Vision and Image Understanding, vol.112, issue.2, pp.184-194, 2008.
DOI : 10.1016/j.cviu.2008.02.005

D. Wan and J. Zhou, Self-calibration of spherical rectification for a PTZ-stereo system, Image and Vision Computing, vol.28, issue.3, pp.367-375, 2010.
DOI : 10.1016/j.imavis.2009.06.003

M. Paul, W. , and C. Jones, Kernel Smoothing, 1995.

C. Wren, A. Azarbayejani, T. Darrell, and E. A. Pentland, Pfinder : real-time tracking of the human body, Automatic Face and Gesture Recognition Proceedings of the Second International Conference on, pp.51-56, 1996.

Z. Xu, P. Shi, Y. H. Et-irene, and . Gu, An Eigenbackground Subtraction Method Using Recursive Error Compensation, PCM'06, pp.779-787, 2006.
DOI : 10.1007/11922162_89

J. Yao and J. Odobez, Multi-Layer Background Subtraction Based on Color and Texture, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383497

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.167.585

Q. Zhu, S. Avidan, and K. Cheng, Learning a sparse, corner-based representation for time-varying background modelling, ICCV, pp.678-685, 2005.

S. Chun, Z. , and A. Yuille, Region competition : Unifying snakes, region growing, and bayes/mdl for multi-band image segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.18, pp.884-900, 1995.