Title :
Fuzzy belief and scene interpretation
Author :
Dance, Sandy ; Liu, Zhi-Qiang
Author_Institution :
Dept. of Comput. Sci., Melbourne Univ., Parkville, Vic., Australia
Abstract :
We present an image interpretation system using fuzzy belief measures. This system is based on a symbolic object-oriented image interpretation system (SOO-PIN) we developed previously. In many image analysis and understanding applications, objects can only be described vaguely. Using fuzzy belief measures and linguistic hedges we are able to manage uncertainty properly. Furthermore, this enables us to develop an image understanding system that produces a natural linguistic presentation and provides a user-friendly environment. We demonstrate the effectiveness of our system with a complex traffic scene
Keywords :
automobiles; belief maintenance; computer vision; fuzzy systems; image segmentation; message passing; road traffic; traffic engineering computing; uncertainty handling; complex traffic scene; fuzzy belief measures; image analysis; image understanding; linguistic hedges; natural linguistic presentation; object description; scene interpretation; symbolic object-oriented image interpretation system; uncertainty management; user-friendly environment; Application software; Bayesian methods; Computer science; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Image analysis; Layout; Measurement uncertainty; Message passing;
Conference_Titel :
Computer Vision, 1995. Proceedings., International Symposium on
Conference_Location :
Coral Gables, FL
Print_ISBN :
0-8186-7190-4
DOI :
10.1109/ISCV.1995.477063
