Title :
Keeping smart, omnidirectional eyes on you [adaptive panoramic stereovision]
Author :
Zhu, Zhigang ; Karuppiah, Deepak R. ; Riseman, Edward M. ; Hanson, Allen R.
Author_Institution :
Dept. of Comput. Sci., City Coll. of New York, NY, USA
Abstract :
An adaptive panoramic stereo approach for two cooperative mobile platform is presented. There are four key features in the approach: 1) omnidirectional stereovision with an appropriate vertical FOV, and a simple camera calibration method; 2) cooperative mobile platforms for mutual dynamic calibration and best view planning; 3) 3D matching after meaningful object (human subject) extraction; and 4) real-time performance. The integration of omnidirectional vision with mutual awareness and dynamic calibration strategies allows intelligent cooperation between visual agents. This provides an effective way to solve the problems of limited resources, view planning, occlusion, and motion detection of movable robotic platforms. Experiments have shown that this approach is quite promising.
Keywords :
cooperative systems; distributed sensors; image sensors; mobile robots; multi-robot systems; stereo image processing; adaptive panoramic stereo; camera calibration; cooperative robot; distributed sensor; human localization; human tracking; mobile robot; omnidirectional stereovision; Calibration; Cameras; Eyes; Humans; Intelligent robots; Robot sensing systems; Robot vision systems; Robotics and automation; Video surveillance; Wearable sensors;
Journal_Title :
Robotics & Automation Magazine, IEEE
DOI :
10.1109/MRA.2004.1371613