Behavior locus identification method based on variation BP-HMM

• Main Authors: SUN SHILIANG, DAI HAIWEI, ZHAO JING
• Format: Patent
• Language: Chinese; English
• Published: 07.09.2016
• Subjects: CALCULATING; COMPUTING; COUNTING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS

The invention discloses a behavior locus identification method based on a variation BP-HMM. The method comprises the following steps: extracting features of a behavior sample, and establishing a behavior locus and a data set; determining a model used for simulating the behavior locus, wherein the model employs the variation BP-HMM; initializing prior super parameters of a Beta process; obtaining a trained variation BP-HMM by training the model by use of the prior super parameters; and based on the trained variation BP-HMM, identifying the behavior locus of people by use of a maximum likelihood method. According to the invention, the variation BP-HMM which can be used for identifying the behavior locus of the people is created and used. The variation BP-HMM constructs a feature selection matrix and can automatically lean the feature selection matrix. The self-learning updating process of the variation BP-HMM is derived at the same time, a detailed derivation algorithm is given, and the identification method is