This article establishes the region of interest for vehicles based on the shadow information at the bottom of the vehicle. On this basis, the edge features, texture features, and vertical edge symmetry features of vehicles were utilized for multi fusion analysis to achieve vehicle recognition. Finally, use the edge information of the identified vehicles for localization. The experimental results show that the multi feature fusion method has high reliability in identifying vehicles.
Multifeature fusion vehicle recognition method based on visual information
International Conference on Remote Sensing Technology and Image Processing (RSTIP 2024) ; 2024 ; Dali, China
Proc. SPIE ; 13640
2025-06-03
Conference paper
Electronic Resource
English
Multifeature fusion using pulse-coupled neural networks
British Library Conference Proceedings | 1999
|A Multifeature Fusion Short-Term Traffic Flow Prediction Model Based on Deep Learnings
DOAJ | 2022
|