| Citation: | GUO Haifeng, LIU Hongqiang, ZHUANG Yanlong, et al. Tactical activity recognition model and online accurate inference based on CIDBN[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(6): 1097-1107. doi: 10.13700/j.bh.1001-5965.2019.0399(in Chinese)
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Tactical activity recognition is an important research content of battlefield situational awareness. In order to improve the accuracy and real-time of tactical activity recognition, a tactical activity recognition model and online accurate reasoning based on Context-Independent Dynamic Bayesian Network (CIDBN) are put forward. Based on the analysis of tactical activity mechanism and Dynamic Bayesian Network (DBN) theory, an initial tactical activity recognition model is established. In this model, threat index nodes are introduced to influence the termination and selection of activities, and the fuzzy membership function is used to discretize the continuous variables. The model is simplified based on the relationship of context independence, and the new tactical activity recognition model based on CIDBN is obtained. The interface algorithm is extended to the model and an online accurate reasoning algorithm is proposed. The simulation results show that the proposed tactical activity recognition method has the advantages of high recognition accuracy, low uncertainty and high real-time performance.
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