Pages created 1995-2000 |
The term Optic Flow refers to the motion in video images which is represented by a two-dimensional vector field. Here at the lab we have developed a PC board that can estimate this vector field from a video stream in real-time (up to 525 vectors in 40ms). Because of the computational costs of the underlying correlation operation, a specialized MPEG-Processor (MEP, Motion Estimation Processor) is used. An additional processing unit (realized by FPGA technology) augments each vector with a confidence value. Current research topics include the adaption of common optic flow techniques to the pecularities of this approach with special regards to autonomous vehicle navigation. Current applications are:
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