Brick path detection from shape pattern and texture feature

Pedestrians are involved in half of the traffic accidents according to the statistics. It shows that the safety of pedestrian passage is so important. In this paper, a detection method for paved brick path is proposed which is based on the analysis of shape pattern and texture feature in outdoor environment. In image, a brick appears to a regular type because of its specific shape which repeats with its sized gap. However, the type of brick path varies according to the surrounding environment or section of use for the handicapped people. This paper shows the method which extracts the shape pattern by analyzing single surface polygon and its frequency appearing in the road area. The shape pattern is used to detect similar shape regions. Some regions aren´t detected because the extraneous substances or chopped bricks distort the original shape. This kind of problem can be solved by texture feature analysis. Analyzed values of texture feature in previously detected regions yield Gaussian distribution. An analyzed value of texture feature in each undetected region also is extracted and then the value is checked it is satisfied with Gaussian distribution or not. Finally the satisfied regions are detected as brick path. The experimental result is analyzed that true positive is 97%.