- Tracking of objects in video streams using points of interest Pierre Gabriel, Justus Piater * and Jacques Verly +
- A GENERIC APPROACH FOR IMAGE CLASSIFICATION BASED ON DECISION TREE ENSEMBLES AND LOCAL SUB-WINDOWS
- FAST 2D MODEL-TO-IMAGE REGISTRATION USING VANISHING POINTS FOR SPORTS VIDEO ANALYSIS
- Robust incremental rectification of sport video sequences
- Travail de fin d'tudes 2007-2008 : Etude de l'Adquation de Diffrentes Plateformes
- Fuzzy Sets for Feature Identification 1 Fuzzy Sets for feature identification in
- Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks
- Object Tracking using Color Interest Points P. Gabriel, J.-B. Hayet, J. Piater, and J. Verly
- 2009 IEEE 8TH INTERNATIONAL CONFERENCE ON DEVELOPMENT AND LEARNING 1 Learning Object-specific Grasp Affordance
- Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models
- INCREMENTAL RECTIFICATION OF SPORTS FIELDS IN VIDEO STREAMS WITH APPLICATION TO SOCCER
- " '")" E 0 5 10 15 20 25 30 35
- Sequential Variational Inference for Distributed Multi-Sensor Tracking and Fusion
- Elementary Probability Theory An online chapter by D. Forsyth and J. Ponce
- Multi-Modal Tracking of Interacting Targets Using Gaussian Approximations Justus H. Piater James L. Crowley
- Event-based Activity Analysis in Live Video Using a Generic Object Tracker Justus H. Piater, Stephane Richetto, and James L. Crowley
- Sujet: Suppression d'ombres suite une segmentation de personnes Le sujet d'tude introduit dans ce document se focalise sur l'amlioration de la
- Appearing in the 2008 International Cognitive Vision Workshop (ICVW2008). Probabilistic Pose Recovery Using Learned
- Learning Appearance Features to Support Robotic Manipulation Justus H. Piater
- Unsupervised Learning of Visual Feature Hierarchies Fabien Scalzo and Justus Piater
- REINFORCEMENT LEARNING OF PERCEPTUAL CLASSES USING Q LEARNING UPDATES
- A Modular Multi-Camera Framework for Team Sports Tracking J.B. Hayet
- TRICTRAC Video Dataset: Public HDTV Synthetic Soccer Video Sequences With Ground Truth.
- IPSJ Transactions on Computer Vision and Applications Vol. 1 114 (Jan. 2009) Regular Paper
- Interactive Selection of Visual Features through Reinforcement Learning
- Task-Driven Discretization of the Joint Space of Visual Percepts and Continuous Actions
- Video Analysis for Continuous Sign Language Recognition Justus Piater, Thomas Hoyoux, Wei Du
- Presented at the Workshop on Approaches to Sensorimotor Learning on Humanoid Robots, IEEE International Conference on Robotics and Automation, 2009.
- Vision as Inference in a Hierarchical Markov Network Justus H. Piater, Fabien Scalzo, and Renaud Detry
- ONLINE LEARNING OF GAUSSIAN MIXTURE MODELS: A TWO-LEVEL APPROACH
- On-Line Rectification of Sport Sequences with Moving Cameras
- Hierarchical Integration of Local 3D Features for Probabilistic Pose Recovery
- Non-Rigid Object Tracker Based On a Robust Combination of Parametric Active Contour and Point Distribution Model
- Robust Non-Rigid Object Tracking Using Point Distribution Manifolds
- Data Fusion by Belief Propagation for Multi-Camera Institut Montefiore, B28,
- Collaborative Multi-Camera Tracking of Athletes in Team Sports
- Learning, then Compacting Visual Policies (Extended Abstract) Sebastien Jodogne S.Jodogne@ULg.ac.be
- Interactive Learning of Mappings from Visual Percepts to Actions Sebastien Jodogne1
- Object tracking using a combined appearance and geometric model Pierre Gabriel , Justus Piater *
- The State of the Art in Multiple Object Tracking Under Occlusion in Video Sequences
- Fast Computation of Characteristic Scale Using a Half-Octave James L. Crowley, Olivier Riff, and Justus H. Piater
- Mise jour du 19/04/10 (suite aux remarques mises lors du CF du 31 mars 2010) 1 Rgles et conseils concernant les travaux de fin d'tudes
- Kernel Density Estimation An Introduction
- Universit de Lige Institut Montefiore
- Utilisation des Points d'Intrts Couleurs pour le Suivi d'Objets Pierre Gabriel, Jean-Bernard Hayet, Justus Piater et Jacques Verly
- Robust Non-Rigid Object Tracking Using Point Distribution Models
- On-line Simultaneous Learning and Tracking of Visual Feature Graphs Arnaud Declercq and Justus H. Piater
