Abstract
To locate Informative Bright Region (IBR) in which visual information is missing due to limited dynamic range of image sensor, an algorithm is proposed via combining geometric properties of visual cues into a confidence map. Location of IBR in road tunnel scenes is estimated in real-time under the condition that most of vision information inside IBR is lost. It is evaluated by comparing the estimated location of IBR with that annotated by multiple human observers on a self-built tunnel scene video dataset recorded by a car-mounted camera, and running time of the algorithm on each frame achieves 10ms. The algorithm aims at providing control timing of imaging sensor on a low cost platform like vehicle driving recorder to enhance the captured visual contents in over-exposed regions.
| Original language | English |
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| Pages | 75-82 |
| Number of pages | 8 |
| Publication status | Published - 2014 |
| Externally published | Yes |
| Event | Joint International Conference of the 10th China-Japan International Workshop on Information Technology and Control Applications and the 6th International Symposium on Computational Intelligence and Industrial Applications, ITCA and ISCIIA 2014 - Changsha, China Duration: 15 Sept 2014 → 20 Sept 2014 |
Conference
| Conference | Joint International Conference of the 10th China-Japan International Workshop on Information Technology and Control Applications and the 6th International Symposium on Computational Intelligence and Industrial Applications, ITCA and ISCIIA 2014 |
|---|---|
| Country/Territory | China |
| City | Changsha |
| Period | 15/09/14 → 20/09/14 |
Keywords
- Confidence map
- Image processing
- Informative Bright Region
- Lane detection
- Real-time processing