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Feature Fusion Using Automatic Generated RBF Neural Network
2015
Information Technology Journal
A B S T R A C T In this study, a strategy for feature fusion for team behaviors recognition using automatically generated RBF neural network is proposed, for various features need to be extracted in the course of team behaviors recognition and it is difficult to estimate the contribution of various features for identifying and decrypting team behaviors. The burden of high-level recognition algorithm is use eased by using the underlying features of moving target, such as the trajectory
doi:10.3923/itj.2015.16.23
fatcat:pbybhcpy45g7jfxpmobcefhqli