Wavelet Transform for Analyzing Fog Visibility
IEEE Intelligent Systems
Automatic fog detection and estimation of visibility distance through use of an onboard camera
Machine Vision and Applications
Estimating Atmospheric Visibility Using General-Purpose Cameras
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Atmospheric Visibility Monitoring Using Digital Image Analysis Techniques
CAIP '09 Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns
Analysis of prediction performance of training-based models using real network traffic
International Journal of Computer Applications in Technology
Estimating meteorological visibility using cameras: a probabilistic model-driven approach
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Application of interval type-2 fuzzy neural networks to predict short-term traffic flow
International Journal of Computer Applications in Technology
An adaptive optimisation method for multimedia services in wireless networks
International Journal of Computer Applications in Technology
Dynamic camera calibration of roadside traffic management cameras for vehicle speed estimation
IEEE Transactions on Intelligent Transportation Systems
Quadtree-based management on semantic cache for mobile computing
International Journal of Computer Applications in Technology
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A novel technique for estimating traffic visibility based on homogenous area extraction is presented in this paper. Focusing on the problem of detecting daytime fog and estimating visibility, this proposed algorithm adopts a measure defined by the International Commission on Illumination CIE as the distance beyond which a black object of an appropriate dimension is perceived with a contrast of less than 5%. The key step for the algorithm is homogenous area extraction including sky and road selection from the top to the bottom of traffic image. Traffic meteorological visibility will be known as long as the inflection point's location of this area is found. Camera parameter calibration should be done by vanishing points calculation based on painted lines detection. At last, calibration results, inflection point and traffic meteorological visibility for three different traffic scenes will be given. Comparison with real data obtained manually verifies the effectiveness of the algorithm.