Keeping smart, omnidirectional eyes on you
| Autor: | Zhigang Zhu, E.M. Riseman, A.R. Hanson, Deepak R. Karuppiah |
|---|---|
| Rok vydání: | 2004 |
| Předmět: |
Computer science
Calibration (statistics) business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Motion detection Mobile robot Object (computer science) Computer Science Applications Control and Systems Engineering 3-dimensional matching Computer vision Artificial intelligence Electrical and Electronic Engineering Image sensor Omnidirectional antenna business Camera resectioning |
| Zdroj: | IEEE Robotics & Automation Magazine. 11:69-78 |
| ISSN: | 1070-9932 |
| DOI: | 10.1109/mra.2004.1371613 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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