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Knowledge-based vision for space station object motion detection, recognition, and tracking
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Symosek, P. Yalamanchili, S. Wehner II, W. Panda, D. |
| Copyright Year | 1987 |
| Description | Computer vision, especially color image analysis and understanding, has much to offer in the area of the automation of Space Station tasks such as construction, satellite servicing, rendezvous and proximity operations, inspection, experiment monitoring, data management and training. Knowledge-based techniques improve the performance of vision algorithms for unstructured environments because of their ability to deal with imprecise a priori information or inaccurately estimated feature data and still produce useful results. Conventional techniques using statistical and purely model-based approaches lack flexibility in dealing with the variabilities anticipated in the unstructured viewing environment of space. Algorithms developed under NASA sponsorship for Space Station applications to demonstrate the value of a hypothesized architecture for a Video Image Processor (VIP) are presented. Approaches to the enhancement of the performance of these algorithms with knowledge-based techniques and the potential for deployment of highly-parallel multi-processor systems for these algorithms are discussed. |
| File Size | 1046505 |
| Page Count | 10 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19890017123 |
| Archival Resource Key | ark:/13960/t83j8c21d |
| Language | English |
| Publisher Date | 1987-07-01 |
| Access Restriction | Open |
| Subject Keyword | Cybernetics Computer Vision Algorithms Image Processing Detection Multiprocessing Computers Knowledge Recognition Tracking Position Space Stations Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
