Paper
16 September 1994 Calculating time-to-collision with real-time optical flow
Ted A. Camus
Author Affiliations +
Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.186009
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States
Abstract
Currently two major limitations to applying computer vision to real-time robotic vision tasks are robustness in unsimulated and uncontrolled environments, and the computational resources required for real-time operation. In particular, many current visual motion detection algorithms (optical flow) are not suited for practical applications such as crash detection because they either require highly specialized hardware or up to several minutes on a scientific workstation. A recent optical flow algorithm [C94] however has been shown to run in real-time on a standard scientific workstation and yields very accurate time-to-contact calculations.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ted A. Camus "Calculating time-to-collision with real-time optical flow", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.186009
Lens.org Logo
CITATIONS
Cited by 12 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Optical flow

Motion measurement

Image visualization

Robot vision

Detection and tracking algorithms

Optical testing

Algorithm development

RELATED CONTENT

Crest lines detection in gray-level images
Proceedings of SPIE (August 20 1993)
Predictive optical-flow algorithm for aircraft detection
Proceedings of SPIE (October 06 1998)
Harvesting weakly tagged images for computer vision tasks
Proceedings of SPIE (February 10 2010)
Invariants in visual motion
Proceedings of SPIE (August 06 1993)

Back to Top