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Prediction Performance of Support Vector Machines with Fused Data in Road Scene Analysis
2015
International Journal of Transportation
Automatic video-based vehicle detection is one of the main research topics in Intelligent Transportation Systems (ITS) and is a key element for automatic traffic surveillance systems. Support Vector Machines (SVMs) have been increasingly applied to an automatic video-based vehicle detection and a road scene analysis because of their remarkable performance in prediction accuracy. The property of input data for learning on SVMs determines the predictive performance. It is important task to choose
doi:10.14257/ijt.2015.3.3.04
fatcat:3dx6rnxxcjbyhbiaoeqkzhcv2a