Paper Info
Title
Segmentation Through Edge-Linking Segmentation For Video-Based Driver Assistance Systems
Abstract
This work aims to develop an image segmentation method to be used in automotive driver assistance systems. In this context it is possible to incorporate a priori knowledge from other sensors to case the problem of localizing objects and to improve the results. It is however desired to produce accurate segmentations displaying good edge localization and to have real time capabilities. An edge-segment grouping method is presented to meet these aims. Edges of varying strength are detected initially. In various preprocessing steps edge-segments are formed. A sparse graph is generated from those using perceptual grouping phenomena. Closed contours are formed by solving the shortest path problem. Using test data fitting to the application domain, it is shown that the proposed method provides more accurate results than the well-known Gradient Vector Field Snakes.
Year
Venue
Keywords
2009
IMAGAPP 2009: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON COMPUTER IMAGING THEORY AND APPLICATIONS
Segmentation, Edge linking, Driver assistance, Object recognition
Field
DocType
Citations 
Computer vision,Computer science,Segmentation,Advanced driver assistance systems,Artificial intelligence
Conference
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Andreas Laika1166.22
Adrian Taruttis291.56
Walter Stechele336552.77