Real-time object recognition on image sequences with the adaptable time delay neural network algorithm — applications for autonomous vehicles
- 1 August 2001
- journal article
- Published by Elsevier in Image and Vision Computing
- Vol. 19 (9-10) , 593-618
- https://doi.org/10.1016/s0262-8856(01)00040-3
Abstract
No abstract availableKeywords
This publication has 42 references indexed in Scilit:
- Obstacle detection by real-time optical flow evaluationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- An all-transputer visual autobahn-autopilot/copilotPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Multiple vehicle detection and tracking in hard real-timePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- An efficient method for contour tracking using active shape modelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Ribbon-based motion analysis of human body movementsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1996
- Active Shape Models-Their Training and ApplicationComputer Vision and Image Understanding, 1995
- Continuous-time temporal back-propagation with adaptable time delaysIEEE Transactions on Neural Networks, 1993
- Obstacle detection by evaluation of optical flow fields from image sequencesImage and Vision Computing, 1991
- An integrated spatio-temporal approach to automatic visual guidance of autonomous vehiclesIEEE Transactions on Systems, Man, and Cybernetics, 1990
- Image sequence analysis of real world human motionPattern Recognition, 1984