Abstract
This study proposes a method of recognizing multiple pedestrians in real time using a car-mounted camera, as a basic technology for the driving assistance system. We employed a hybrid GA (Genetic Algorithm) based on selective attention, which is the human visual function used to reduce processing load, to search for the position of pedestrians in input image. The hybrid GA used random searching as a rough, preliminary search of the area, then used an improved GA to carefully search the target possibilities. A real-time experiment on the recognition of multiple pedestrians in dynamic images obtained from a car-mounted camera was used to verify the effectiveness of the proposed method.
| Original language | English |
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| Pages | 13-18 |
| Number of pages | 6 |
| Publication status | Published - 2006 |
| Externally published | Yes |
| Event | IASTED International Conference on Artificial Intelligence and Applications, AIA 2006 - Innsbruck, Austria Duration: Feb 13 2006 → Feb 16 2006 |
Other
| Other | IASTED International Conference on Artificial Intelligence and Applications, AIA 2006 |
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| Country/Territory | Austria |
| City | Innsbruck |
| Period | 2/13/06 → 2/16/06 |
Keywords
- Car-mounted camera
- Genetic algorithm
- Intelligent transport systems
- Pedestrians
- Real-time recognition
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Software