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This paper analyzes construction method of Mathematical morphology structure element, puts forward a new algorithm for constructing mathematical morphology structure element , combined genetic algorithm, and designs corresponding genetic fitness function, cross operator and mutation method. We apply structure element obtained from this algorithm to traffic vehicle detection, and carry out experimental...
We propose an evolutionary method for detection of vehicles in satellite imagery which involves a large number of simple elementary features and multiple detectors trained by genetic programming. The complete detection system is composed of several detectors that are chained into a cascade and successively filter out the negative examples. Each detector is a committee of genetic programming trees...
Based on the analysis of the characteristics of nonlinearity and strong interference of traffic flow due to the complex and uncertainty of time variance in real traffic system, a new approach has been proposed for traffic flow prediction. First, wavelet transform is used to eliminate the noise of original traffic data. Then it decomposes the traffic flow sequence into the low and high frequencies...
Although accessible pedestrian signals are more and more frequent at crosswalks in busy intersections, visually impaired people will not be able to get about independently until the infrastructure reaches full coverage on the routes they are using. In this paper, we present algorithms to detect and recognize pedestrian crosswalks developed in the framework of the research to create a Bionic Eyeglass,...
A new prediction approach for the railway passenger volume is put forward by means of support vector machine optimized by genetic algorithm (GA-SVM). In GA-SVM model, GA is used to determine training parameters of support vector machine. GA has strong global search capability, which can get optimal solution in short time. Railway passenger volume of China from 1985-2002 is used to illustrate the performance...
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