Towards efficient simulation of marked point process models for boat extraction from high resolution optical remotely sensed images, 2014 IEEE Geoscience and Remote Sensing Symposium, 2014. ,
DOI : 10.1109/IGARSS.2014.6946929
URL : https://hal.archives-ouvertes.fr/hal-01016874
Statistics for spatio-temporal data. Wiley series in probabilities and statistics, 2011. ,
Unsupervised marked point process model for boat extraction in harbors from high resolution optical remotely sensed image, Proc. ICIP, pp.4122-4125, 2013. ,
Histograms of oriented gradients for human detection, Proc. CVPR, pp.886-893, 2005. ,
Icy: an open bioimage informatics platform for extended reproducible research, Nature Methods, vol.9, issue.7, pp.690-696, 2012. ,
DOI : 10.1038/nmeth.2075
Stochastic Geometry for Image Analysis, 2011. ,
DOI : 10.1002/9781118601235
URL : https://hal.archives-ouvertes.fr/hal-00793677
Spatio-temporal point processes: methods and applications. Statistical methods for spatiotemporal systems, pp.1-45, 2007. ,
DOI : 10.1201/9781420011050.ch1
URL : javascript:void(0)
Point process methodology for on-line spatio-temporal disease surveillance, Environmetrics, vol.60, issue.5, pp.423-434, 2005. ,
DOI : 10.1002/env.712
Marked point processes for crowd counting, 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp.2913-2920, 2009. ,
DOI : 10.1109/CVPR.2009.5206621
Bhattacharyya distance as a contrast parameter for statistical processing of noisy optical images, Journal of the Optical Society of America A, vol.21, issue.7, pp.1231-1240, 2004. ,
DOI : 10.1364/JOSAA.21.001231
Reversible jump Markov chain Monte Carlo computation and Bayesian model determination, Biometrika, vol.82, issue.4, pp.711-732, 1995. ,
DOI : 10.1093/biomet/82.4.711
Spatio-temporal modeling -with a view to biological growth. Statistical methods for spatio-temporal systems, pp.47-75, 2007. ,
Coupled Object Detection and Tracking from Static Cameras and Moving Vehicles, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.10, pp.1683-1698, 2008. ,
DOI : 10.1109/TPAMI.2008.170
Markov Chain Monte Carlo Data Association for general multipletarget tracking problems, Proc. CDC, vol.1, pp.735-742, 2004. ,
A Space???Time Conditional Intensity Model for Evaluating a Wildfire Hazard Index, Journal of the American Statistical Association, vol.100, issue.469, pp.26-35, 2005. ,
DOI : 10.1198/016214504000001763
General constraints for batch Multiple-Target Tracking applied to large-scale videomicroscopy, 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2008. ,
DOI : 10.1109/CVPR.2008.4587506
Markov Point Processes and Their Applications, 2000. ,
DOI : 10.1142/p060
Efficient Monte Carlo Sampler for Detecting Parametric Objects in Large Scenes, Proc. ECCV, pp.539-552, 2012. ,
DOI : 10.1007/978-3-642-33712-3_39
An introduction to the Kalman filter, Proc. SIGGRAPH, pp.19-24, 2001. ,
Multiple Target Tracking Using Spatio-Temporal Markov Chain Monte Carlo Data Association, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.312196-2210, 2009. ,
DOI : 10.1109/CVPR.2007.382991