The visual analysis of human movement: a survey
Computer Vision and Image Understanding
Integrated Person Tracking Using Stereo, Color, and Pattern Detection
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Ghost3D: Detecting Body Posture and Parts Using Stereo
MOTION '02 Proceedings of the Workshop on Motion and Video Computing
Multiple-person tracker with a fixed slanting stereo camera
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Video security for ambient intelligence
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Adaptive multi-modal stereo people tracking without background modelling
Journal of Visual Communication and Image Representation
Pattern Recognition Letters
Pose robust human detection using multiple oriented 2d elliptical filters
VNBA '08 Proceedings of the 1st ACM workshop on Vision networks for behavior analysis
Multi-camera people tracking using evidential filters
International Journal of Approximate Reasoning
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
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
Hi-index | 0.00 |
In this document we present an agent for people detection and tracking through stereo vision. The agent makes use of the active vision to perform the people tracking with a robotic head on which the vision system is installed. Initially, a map of the surrounding environment is created including its motionless characteristics. This map will later on be used to detect objects in motion, and to search people among them by using a face detector. Once a person has been spotted, the agent is capable of tracking them through the robotic head that allows the stereo system to rotate. In order to achieve a robust tracking we have used the Kalman filter. The agent focuses on the person at all times by framing their head and arms on the image. This task could be used by other agents that might need to analyze gestures and expressions of potential application users in order to facilitate the human-robot interaction.