BP (Back-Propagation) neural network-based human body behavior recognition method

The invention relates to a BP (Back-Propagation) neural network-based human body behavior recognition method. The method includes human body behavior modeling processing and human body behavior recognition processing. The human body behavior modeling processing includes the following steps that: a training dataset is acquired; basic feature information is extracted on the basis of a filtering type feature selection method; and hierarchical clustering analysis processing is performed on an extracted basic feature information dataset, so that a human body behavior classifier can be generated. The human body behavior recognition processing comprises the following steps that: a BP neural network model is constructed; human body behavior classification data are imported into the neural network, a quasi-Newton back-propagation method is adopted to perform training; the BP neural network algorithm is adopted to continuously improve and optimize the human body classifier; and discretization processing is performed on