A survey on motion prediction and risk assessment for intelligent vehicles, ROBOMECH Journal, vol.18, issue.10, 2014. ,
DOI : 10.1186/s40648-014-0001-z
A Survey of Vision-Based Trajectory Learning and Analysis for Surveillance, IEEE Transactions on Circuits and Systems for Video Technology, pp.1114-1127, 2008. ,
DOI : 10.1109/TCSVT.2008.927109
Multi-hypothesis motion planning for visual object tracking, Proceedings of the 2011 International Conference on Computer Vision, pp.619-626, 2011. ,
Bayesian Human Motion Intentionality Prediction in urban environments, Pattern Recognition Letters, vol.44, pp.134-140, 2014. ,
DOI : 10.1016/j.patrec.2013.08.013
A stochastic algorithm for obstacle motion prediction in visual guidance of robot motion, IEEE International Conference on Systems Engineering, pp.216-219, 1990. ,
DOI : 10.1109/ICSYSE.1990.203136
Featurebased prediction of trajectories for socially compliant navigation, Robotics: Science and Systems, 2012. ,
Predicting Pedestrian Trajectories Using Velocity-Space Reasoning, Tenth Workshop on the Algorithmic Foundations of Robotics, ser. Springer Tracts in Advanced Robotics, pp.609-623, 2013. ,
DOI : 10.1007/978-3-642-36279-8_37
Learning Motion Patterns of People for Compliant Robot Motion, The International Journal of Robotics Research, vol.24, issue.1, pp.31-48, 2005. ,
DOI : 10.1177/0278364904048962
Growing hidden markov models: a tool for incremental learning and prediction of motion, International Journal of Robotics Research, vol.28, pp.11-12, 2009. ,
Planning-based prediction for pedestrians, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.3931-3936, 2009. ,
DOI : 10.1109/IROS.2009.5354147
Activity Forecasting, European Conference on Computer Vision, pp.201-214, 2012. ,
DOI : 10.1007/978-3-642-33765-9_15
Who are you with and where are you going?, CVPR 2011, pp.1345-1352, 2011. ,
DOI : 10.1109/CVPR.2011.5995468
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.232.8163
Learning intentions for improved human motion prediction, Robotics and Autonomous Systems, vol.62, issue.4, pp.591-602, 2014. ,
DOI : 10.1016/j.robot.2014.01.003
Expressing Bayesian fusion as a product of distributions: applications in robotics, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453), pp.1851-1856, 2003. ,
DOI : 10.1109/IROS.2003.1248913
URL : https://hal.archives-ouvertes.fr/hal-00089247
A large-scale benchmark dataset for event recognition in surveillance video, CVPR 2011, pp.3153-3160, 2011. ,
DOI : 10.1109/CVPR.2011.5995586
Efficient algorithms for globally optimal trajectories, IEEE Transactions on Automatic Control, vol.40, issue.9, pp.1528-1538, 1995. ,
DOI : 10.1109/9.412624
Fast Marching Methods, SIAM Review, vol.41, issue.2, pp.199-235, 1999. ,
DOI : 10.1137/S0036144598347059
Continuum crowds, ACM Transactions on Graphics, vol.25, issue.3, pp.1160-1168, 2006. ,
DOI : 10.1145/1141911.1142008
Activity forecasting data set, pp.2015-2020, 2012. ,
Stacked Hierarchical Labeling, European Conference on Computer Vision, pp.57-70, 2010. ,
DOI : 10.1007/978-3-642-15567-3_5
A modified Hausdorff distance for object matching, Proceedings of 12th International Conference on Pattern Recognition, pp.566-568, 1994. ,
DOI : 10.1109/ICPR.1994.576361