Integrated Person Tracking Using Stereo, Color, and Pattern Detection
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Learning Patterns of Activity Using Real-Time Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Contour Tracking by Stochastic Propagation of Conditional Density
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Fusion of Multiple Tracking Algorithms for Robust People Tracking
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
HUMO '00 Proceedings of the Workshop on Human Motion (HUMO'00)
Real-time multiple people tracking using competitive condensation
Pattern Recognition
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
People detection and tracking using stereo vision and color
Image and Vision Computing
Adaptive multi-modal stereo people tracking without background modelling
Journal of Visual Communication and Image Representation
Pattern Recognition Letters
People detection and tracking with multiple stereo cameras using particle filters
Journal of Visual Communication and Image Representation
Robust pedestrian detection and tracking in crowded scenes
Image and Vision Computing
A new person tracking method for human-robot interaction intended for mobile devices
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
Growing competitive network for tracking objects in video sequences
ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms
Real-time 3D pointing gesture recognition for mobile robots with cascade HMM and particle filter
Image and Vision Computing
Tracking of individuals in very long video sequences
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
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
Shape from pairwise silhouettes for plan-view map generation
Image and Vision Computing
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This paper presents a new method for tracking multiple persons in a room by a stereo camera. If the ceilling of a building is not high enough, the camera needs to be located at low height. This camera location causes the problem of the significant view changes of the person in the image and each person consecutively occludes the other. We propose a method that projects the 3D variable voxels onto the floor, and tracks their peaks in order to ignore the view changes. The voxels vary along with the distance from the camera, so as not to be influenced by the stereo measurement accuracy. In addition we define repulsive forces between trackers to avoid collisions each other. The experimental results using real images show that our method is effective for the above camera location.