Mr. Robert L. Davies Profile

Robert L. Davies

at Intel Corp

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Proceedings Article | 16 January 2006 Paper

Using CART to segment road images

Bob Davies, Rainer Lienhart

Proceedings Volume 6073, 60730U (2006) https://doi.org/10.1117/12.650164

KEYWORDS: Roads, Image segmentation, Video, Cameras, RGB color model, Machine vision, Computer vision technology, Machine learning, Performance modeling, Laser processing

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The 2005 DARPA Grand Challenge is a 132 mile race through the desert with autonomous robotic vehicles. Lasers mounted on the car roof provide a map of the road up to 20 meters ahead of the car but the car needs to see further in order to go fast enough to win the race. Computer vision can extend that map of the road ahead but desert road is notoriously similar to the surrounding desert. The CART algorithm (Classification and Regression Trees) provided a machine learning boost to find road while at the same time measuring when that road could not be distinguished from surrounding desert.

Proceedings Article | 24 August 1999 Paper

Video document

Bob Davies, Rainer Lienhart, Boon-Lock Yeo

Proceedings Volume 3846, (1999) https://doi.org/10.1117/12.360452

KEYWORDS: Video, Video processing, Visualization, Databases, Cameras, Digital video recorders, Human-machine interfaces, Optical character recognition, Internet, Compact discs

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The metaphor of film and TV permeates the design of software to support video on the PC. Simply transplanting the non- interactive, sequential experience of film to the PC fails to exploit the virtues of the new context. Video ont eh PC should be interactive and non-sequential. This paper experiments with a variety of tools for using video on the PC that exploits the new content of the PC. Some feature are more successful than others. Applications that use these tools are explored, including primarily the home video archive but also streaming video servers on the Internet. The ability to browse, edit, abstract and index large volumes of video content such as home video and corporate video is a problem without appropriate solution in today's market. The current tools available are complex, unfriendly video editors, requiring hours of work to prepare a short home video, far more work that a typical home user can be expected to provide. Our proposed solution treats video like a text document, providing functionality similar to a text editor. Users can browse, interact, edit and compose one or more video sequences with the same ease and convenience as handling text documents. With this level of text-like composition, we call what is normally a sequential medium a 'video document'. An important component of the proposed solution is shot detection, the ability to detect when a short started or stopped. When combined with a spreadsheet of key frames, the host become a grid of pictures that can be manipulated and viewed in the same way that a spreadsheet can be edited. Multiple video documents may be viewed, joined, manipulated, and seamlessly played back. Abstracts of unedited video content can be produce automatically to create novel video content for export to other venues. Edited and raw video content can be published to the net or burned to a CD-ROM with a self-installing viewer for Windows 98 and Windows NT 4.0.

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