Paper Info
Title
Motion-Based Object Detection for Automotive Applications using Multidimensional Wave Digital Filters
Abstract
Vision-based object detection is a core part of many automotive collision warning systems. Especially due to the extensive information an image can hold and the decreasing costs of computational power, it has attracted more and more interest in the last decade. In this paper we propose a motion-based approach to simplify the detection of moving objects in order to improve available methods and make them more efficient. We interpret the image sequence containing the moving object (e.g. a vehicle or a crossing pedestrian) as a three-dimensional signal, not just as a sequence of image matrices. That way we can benefit from the advanced theoretical knowledge on system description and handling from the field of signal processing. In detail, three-dimensional velocity filters implemented using wave digital filters are used to oppress every object in the image that is not moving in a certain direction at a certain velocity.
Year
DOI
Venue
2008
10.1109/VETECS.2008.591
VTC Spring
Keywords
Field
DocType
road vehicles,velocity filter,vision-based object detection,wave digital filters,image sequence,image sequences,motion-based object detection,object detection,computer vision,moving object detection,road traffic,multidimensional wave digital filter,automotive collision warning system,image motion analysis,digital filters,three dimensional,multidimensional systems,automotive engineering,signal processing
Warning system,Object detection,Signal processing,Computer vision,Digital filter,Object-class detection,Motion detection,Computer science,Electronic engineering,Artificial intelligence,Automotive industry,Multidimensional systems
Conference
ISSN
ISBN
Citations 
1550-2252 E-ISBN : 978-1-4244-1645-5
978-1-4244-1645-5
6
PageRank 
References 
Authors
0.57
1
3
Name
Order
Citations
PageRank
Sam Schauland16310.25
Jörg Velten24412.37
Anton Kummert323455.14