Developing a Modular Active Spherical Vision System

作者: N.D. Jankovic , M.D. Naish

DOI: 10.1109/ROBOT.2005.1570284

关键词:

摘要: This paper introduces a modular, real-time, omnidirectional, active vision system, as well constructed prototype. By combining omnidirectional and pan-tilt cameras, robust system is created that builds on the strengths of each camera type. The can be easily configured to provide nearly an entire spherical field view independently track several targets interest within environment. novel design allows modules stacked, creating vertical sensor structure. arrangement also provides simple solution epipolar geometry triangulation for target localization. Applications this modular range from mobile robot navigation complex multi-target tracking surveillance.

参考文章(11)
Giovanni Adorni, Luca Bolognini, Stefano Cagnoni, Monica Mordonini, A Non-traditional Omnidirectional Vision System with Stereo Capabilities for Autonomous Robots congress of the italian association for artificial intelligence. pp. 344- 355 ,(2001) , 10.1007/3-540-45411-X_36
G. Scotti, L. Marcenaro, C. Coelho, F. Selvaggi, C.S. Regazzoni, Dual camera intelligent sensor for high definition 360 degrees surveillance IEE Proceedings - Vision, Image, and Signal Processing. ,vol. 152, pp. 250- 257 ,(2005) , 10.1049/IP-VIS:20041302
Motonori Doi, Yutaro Aoki, Real-time video surveillance system using omni-directional image sensor and controllable camera electronic imaging. ,vol. 5012, pp. 1- 9 ,(2003) , 10.1117/12.477503
João P. Barreto, Helder Araujo, A General Framework for the Selection of World Coordinate Systems in Perspective and Catadioptric Imaging Applications International Journal of Computer Vision. ,vol. 57, pp. 23- 47 ,(2004) , 10.1023/B:VISI.0000013089.51664.B2
S. Guler, J.M. Griffith, I.A. Pushee, Tracking and handoff between multiple perspective camera views applied imagery pattern recognition workshop. pp. 275- 281 ,(2003) , 10.1109/AIPR.2003.1284284
T. Wilhelm, H.-J. Böhme, H.-M. Gross, A Multi-Modal System for Tracking and Analyzing Faces on a Mobile Robot Robotics and Autonomous Systems. ,vol. 48, pp. 31- 40 ,(2004) , 10.1016/J.ROBOT.2004.05.004
M. Greiffenhagen, V. Ramesh, D. Comaniciu, H. Niemann, Statistical modeling and performance characterization of a real-time dual camera surveillance system computer vision and pattern recognition. ,vol. 2, pp. 2335- 2342 ,(2000) , 10.1109/CVPR.2000.854840
Y. Yagi, Real-time omnidirectional image sensor for mobile robot navigation international symposium on intelligent control. pp. 702- 708 ,(2002) , 10.1109/ISIC.2002.1157848
Y. Yagi, K. Egami, M. Yachida, Map generation for multiple image sensing sensor MISS under unknown robot egomotion intelligent robots and systems. ,vol. 2, pp. 1024- 1029 ,(1997) , 10.1109/IROS.1997.655134
B. Micusik, T. Pajdla, Estimation of omnidirectional camera model from epipolar geometry computer vision and pattern recognition. ,vol. 1, pp. 485- 490 ,(2003) , 10.1109/CVPR.2003.1211393