GPS-based multi-viewpoint integration for anticipative scene analysis

Authors:
Kohji Kamejima
Affiliations:
Faculty of Information Science and Technology, Osaka Institute of Technology, Hirakata, Japan
Venue:
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
Year:
2012

Citing 5
Cited 0

A Model of Saliency-Based Visual Attention for Rapid Scene Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence
Color Constancy

Color Constancy
Automatic salient-object extraction using the contrast map and salient points

PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
Lane keeping based on location technology

IEEE Transactions on Intelligent Transportation Systems
DGPS-Based Vehicle-to-Vehicle Cooperative Collision Warning: Engineering Feasibility Viewpoints

IEEE Transactions on Intelligent Transportation Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

A multi-viewpoint integration scheme is introduced to recognize scene features prior to physical access. In this schematics, chromatic complexity of vehicle's- and bird's-eye-views of roadway scenes are matched to extend GPS tracks towards possible destinations. Saliency patterns arising in destination images are anticipatively extracted to control the focus of inherent and machine vision to what to be analyzed.