This paper discusses image processing algorithms for the recognition of environmental and road conditions from real-time camera images. This research addresses various implementation techniques for and considerations of the implementation of algorithms to extrapolate various features from images taken by stationary traffic cameras. These algorithms have uses in the areas of traffic pattern analysis, emergency response, real-time traffic situation awareness, and homeland security. This paper covers the design and implementation of an automated camera heading detection system to determine the directional components of a camera's position using the current camera image, various computer vision techniques, and a series of classification training images. Image processing topics addressed as part of this research include edge detection, line detection, and two-dimensional filtering.
Realtime Image Processing Algorithms for the Detection of Road and Environmental Conditions
Ninth International Conference on Applications of Advanced Technology in Transportation (AATT) ; 2006 ; Chicago, Illinois, United States
2006-08-04
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Realtime Image Processing Algorithms for the Detection of Road and Environmental Conditions
British Library Conference Proceedings | 2005
|Implementing Image Processing Algorithms on FPGA-based Realtime Vision System
British Library Conference Proceedings | 2003
|Realtime Road Detection by Learning from One Example
IEEE | 2005
|Realtime On-Road Vehicle Detection Approach Based on Cascaded Structure
Trans Tech Publications | 2011
|