Fundamentals of interactive computer graphics
Fundamentals of interactive computer graphics
Tracking and data association
Stereo Error Detection, Correction, and Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stochastic Analysis of Stereo Quantization Error
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stereoscopic tracking of bodies in motion
Image and Vision Computing - Special issue: 5th Alvey vision meeting
A framework for spatiotemporal control in the tracking of visual contours
International Journal of Computer Vision
Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Integrated Person Tracking Using Stereo, Color, and Pattern Detection
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Contour Tracking by Stochastic Propagation of Conditional Density
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Gesture recognition using the Perseus architecture
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Elliptical Head Tracking Using Intensity Gradients and Color Histograms
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
Ghost3D: Detecting Body Posture and Parts Using Stereo
MOTION '02 Proceedings of the Workshop on Motion and Video Computing
3D Real-Time Head Tracking Fusing Color Histograms and Stereovision
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Advances in Computational Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detection of Skin Color under Changing Illumination: A Comparative Study
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
Maintaining Multi-Modality through Mixture Tracking
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Skin Color-Based Video Segmentation under Time-Varying Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
MCMC-Based Particle Filtering for Tracking a Variable Number of Interacting Targets
IEEE Transactions on Pattern Analysis and Machine Intelligence
People detection and tracking using stereo vision and color
Image and Vision Computing
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Multiple-person tracker with a fixed slanting stereo camera
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
People detection and tracking through stereo vision for human-robot interaction
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
Sequential Monte Carlo methods for multiple target tracking anddata fusion
IEEE Transactions on Signal Processing
Stereo- and neural network-based pedestrian detection
IEEE Transactions on Intelligent Transportation Systems
Visual capture and understanding of hand pointing actions in a 3-D environment
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Video security for ambient intelligence
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Multi-camera people tracking using evidential filters
International Journal of Approximate Reasoning
People detection and tracking with multiple stereo cameras using particle filters
Journal of Visual Communication and Image Representation
Particle filtering with multiple and heterogeneous cameras
Pattern Recognition
Tracking people in video sequences using multiple models
Multimedia Tools and Applications
Pericles: a performance evaluation platform for indoor localization systems
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness
3D object tracking with a high-resolution GPU based real-time stereo
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
Gesture-based interaction with voice feedback for a tour-guide robot
Journal of Visual Communication and Image Representation
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Detecting and tracking persons in the sequences of monocular images are the important and difficult problems in computer vision and have been well studied in these two decades. Recently, the methods based on stereo vision have attracted great attentions since 3D information can be exploited. This paper presents an approach for multiple-people detection and tracking using stereo vision. Tracking is carried out using a multiple particle filtering approach that combines depth, colour and gradient information. We modify the degree of confidence assigned to depth information, according to the amount of it found in the disparity map, using a novel confidence measure. The greater the amount of disparity information found, the higher the degree of confidence assigned to depth information in the final particles weights is. In the worst case (total absence of disparity), the proposed algorithm makes use of the information available (colour and gradient) to track, thus performing as a pure colour-based tracking algorithm. People are detected combining an adaboost classifier with stereo information. In order to test the validity of our proposal, it is evaluated in several sequences of colour and disparity images where people interact in complex situations: walk at different distances, shake hands, cross their paths, jump, run, embrace each other and even swap their positions quickly trying to confuse the system. The experimental results show that the proposal is able to deal with occlusions and to effectively determine both the 3D position of the people being tracked and their 2D head locations in the camera image, and everything is realized in real time. Besides, as the proposed method does not require the use of a background model, it can be considered particularly appropriate for applications that must run on mobile devices.