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
M2Tracker: A Multi-View Approach to Segmenting and Tracking People in a Cluttered Scene
International Journal of Computer Vision
Non-parametric Model for Background Subtraction
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
The ALIVE system: full-body interaction with autonomous agents
CA '95 Proceedings of the Computer Animation
HUMO '00 Proceedings of the Workshop on Human Motion (HUMO'00)
Multi View Image Surveillance and Tracking
MOTION '02 Proceedings of the Workshop on Motion and Video Computing
Multi-Camera Multi-Person Tracking for EasyLiving
VS '00 Proceedings of the Third IEEE International Workshop on Visual Surveillance (VS'2000)
Towards Vision-Based 3-D People Tracking in a Smart Room
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
Counting People in Crowds with a Real-Time Network of Simple Image Sensors
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
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
Recognition-based gesture spotting in video games
Pattern Recognition Letters
International Journal of Computer Vision
Real-Time Wide Area Multi-Camera Stereo Tracking
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
MCMC-Based Particle Filtering for Tracking a Variable Number of Interacting Targets
IEEE Transactions on Pattern Analysis and Machine Intelligence
PEIS ecologies: ambient intelligence meets autonomous robotics
Proceedings of the 2005 joint conference on Smart objects and ambient intelligence: innovative context-aware services: usages and technologies
People detection and tracking using stereo vision and color
Image and Vision Computing
Depth silhouettes for gesture recognition
Pattern Recognition Letters
Real-time 3-D human body tracking using learnt models of behaviour
Computer Vision and Image Understanding
Multicamera People Tracking with a Probabilistic Occupancy Map
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape from inconsistent silhouette
Computer Vision and Image Understanding
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
Shape from silhouette using Dempster-Shafer theory
Pattern Recognition
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
A multiview approach to tracking people in crowded scenes using a planar homography constraint
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Multiple-Person tracking using a plan-view map with error estimation
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Visual capture and understanding of hand pointing actions in a 3-D environment
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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A plan-view map is a representation mechanism especially appropriated for people detection and tracking. It allows to represent volumetric information in a very compact and efficient way so that very effective detection and tracking algorithms can be applied using it. In spite of their advantages, plan-view maps have mainly been used with stereo cameras but not with monocular ones. The reason why is that many of the three-dimensional reconstruction algorithms using monocular vision impose strong conditions (such as controlled lightning, lack of occlusion, etc.) thus impeding their applicability in realistic environments. This paper presents two main novelties. First, a three-dimensional reconstruction algorithm that is especially appropriate for people detection and tracking because of its robustness to errors in the background subtraction. Second, a new technique for creating plan-view maps from volumetric reconstructions that reduces the amount of false positives in the occluded regions. We show experimentally that these techniques produce plan-view maps that can be reliably employed for tracking purposes. The proposed methods are compared with the traditional SfS obtaining relevant improvements.