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JACIII Vol.19 No.2 pp. 255-263
doi: 10.20965/jaciii.2015.p0255
(2015)

Paper:

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Location Detection of Informative Bright Region in Tunnel Scenes Using Lighting and Traffic Lane Cues

Jiajun Lu*, Fangyan Dong**, and Kaoru Hirota*

*Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology
G3-49, 4259 Nagatsuta, Midori-ku, Yokohama 226-8502, Japan

**Education Academy of Computational Life Sciences, Tokyo Institute of Technology
J3-141, 4259 Nagatsuta, Midori-ku, Yokohama 226-8501, Japan

Received:
June 15, 2014
Accepted:
December 11, 2014
Published:
March 20, 2015
Creative Commons License
Keywords:
image processing, confidence map, real-time processing, informative bright region, tunnel scene
Abstract
To locate Informative Bright Region (IBR) in which visual information is missing owing to limited dynamic range of image sensor, an algorithm is proposed that combines the geometric properties of visual cues into a confidence map. The location of an IBR in a road tunnel scene is estimated in real-time under the condition in which most of the vision information inside the IBR is lost. The algorithm is evaluated by comparing the estimated location of IBR with that annotated by multiple human observers in a self-built tunnel scene video dataset recorded by a car-mounted camera, and the algorithm achieves a running time of 10 ms for each frame. The algorithm aims to provide control timing of imaging sensor on a low-cost platform such as a vehicle driving recorder to enhance the visual contents captured in over-exposed regions.
Cite this article as:
J. Lu, F. Dong, and K. Hirota, “Location Detection of Informative Bright Region in Tunnel Scenes Using Lighting and Traffic Lane Cues,” J. Adv. Comput. Intell. Intell. Inform., Vol.19 No.2, pp. 255-263, 2015.
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