Traffic incident classification at intersections based on image sequences by HMM/SVM classifiers
- 9 February 2010
- journal article
- Published by Springer Science and Business Media LLC in Multimedia Tools and Applications
- Vol. 52 (1), 133-145
- https://doi.org/10.1007/s11042-010-0466-6
Abstract
No abstract availableKeywords
This publication has 9 references indexed in Scilit:
- Image Sequences Based Traffic Incident Detection for Signaled Intersections Using HMMPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- Computer vision algorithms for intersection monitoringIEEE Transactions on Intelligent Transportation Systems, 2003
- Abnormal incident detection system employing image processing technologyPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Application of the self-organising map to trajectory classificationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2000
- Traffic monitoring and accident detection at intersectionsIEEE Transactions on Intelligent Transportation Systems, 2000
- An Introduction to Support Vector Machines and Other Kernel-based Learning MethodsPublished by Cambridge University Press (CUP) ,2000
- Development and evaluation of neural network freeway incident detection models using field dataTransportation Research Part C: Emerging Technologies, 1997
- A review of neural networks applied to transportTransportation Research Part C: Emerging Technologies, 1995
- The Nature of Statistical Learning TheoryPublished by Springer Science and Business Media LLC ,1995