Abstract: Multi-Resolution Analysis: MRA based on the mother wavelet function with which support length differs from the image of the automobile rear under run is performed, and the run characteristic of a car is searched for. Speed, deflection, etc. are analyzed and the method of detecting vehicles with high accident danger is proposed. The experimental results show that vehicles in a dangerous action can be detected by the proposed method.

Kohei Arai and Tomoko Nishikawa, “Method for Car in Dangerous Action Detection by Means of Wavelet Multi Resolution Analysis Based on Appropriate Support Length of Base Function” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 2(4), 2013. http://dx.doi.org/10.14569/IJARAI.2013.020403

@article{Arai2013,
title = {Method for Car in Dangerous Action Detection by Means of Wavelet Multi Resolution Analysis Based on Appropriate Support Length of Base Function},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2013.020403},
url = {http://dx.doi.org/10.14569/IJARAI.2013.020403},
year = {2013},
publisher = {The Science and Information Organization},
volume = {2},
number = {4},
author = {Kohei Arai and Tomoko Nishikawa}
}