Viewing meeting captured by an omni-directional camera
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Catadioptric Projective Geometry
International Journal of Computer Vision
A Fault-Tolerant Distributed Vision System Architecture for Object Tracking in a Smart Room
ICVS '01 Proceedings of the Second International Workshop on Computer Vision Systems
Multiview Panoramic Cameras Using a Mirror Pyramid
OMNIVIS '02 Proceedings of the Third Workshop on Omnidirectional Vision
Multiview Panoramic Cameras Using Mirror Pyramids
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision and Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
Human detection for a robot tractor using omni-directional stereo vision
Computers and Electronics in Agriculture
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Flexible, reconfigurable vision systems can provide an extremely rich sensing modality for sophisticated multiple robot platforms. We propose a cooperative and adaptive approach of panoramic vision to the problem of finding and protecting humans by a robot team in an emergency circumstance (e.g. a rescue in an office building). A panoramic virtual stereo vision method is proposed for this cooperative approach, which features omni-directional visual sensors, cooperative mobile platforms, selected 3D matching, and real-time moving object (people) detection and tracking. The problems of dynamic self-calibration and robust 3D estimation of moving objects are discussed. A careful error analysis of the panoramic stereo triangulation is presented in order to derive rules for optimal view planning. Experimental results are given for detecting and localizing multiple moving objects using two cooperative robot platforms.