Abstract
Many researchers have proposed methods of recognizing front vehicles by onboard cameras. However, with these recognition methods, it is difficult to detect features of a distant vehicle from an image by conventional methods because the image is too low-resolution (LR). This paper presents a vehicle image recognition method for detecting features of a distant vehicle by frame-merging based on multi resolution analysis (MRA). To detect vehicle features in an LR image, image sequences obtained from the camera are used, and super-resolution image reconstruction and MRA are applied. The effectiveness of the proposed method is shown through experiments in real road images.
| Original language | English |
|---|---|
| Publication status | Published - 2009 |
| Externally published | Yes |
| Event | 16th World Congress on Intelligent Transport Systems and Services, ITS 2009 - Stockholm, Sweden Duration: 2009 Sept 21 → 2009 Sept 25 |
Other
| Other | 16th World Congress on Intelligent Transport Systems and Services, ITS 2009 |
|---|---|
| Country/Territory | Sweden |
| City | Stockholm |
| Period | 09/9/21 → 09/9/25 |
Keywords
- MRA
- Onboard camera
- Super-resolution
- Vehicle recognition
ASJC Scopus subject areas
- Mechanical Engineering
- Computer Networks and Communications
- Computer Science Applications
- Electrical and Electronic Engineering
- Artificial Intelligence
- Transportation
- Automotive Engineering
- Control and Systems Engineering