An Overview of Target Behavior Analysis Based on Trajectory Data Mining
PAN Xin-Long 1, 2CHENG Xue-Qi2 WANG Hai-Peng1 HE You1 LI Min-Bo3
1. Institute of Information Fusion, Naval Aviation University,Yantai Shandong 264001, China 2. Key Laboratory of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100090, China 3. Software School, Fudan University, Shanghai 200433, China
Abstract：Aiming at the urgent demand of intelligent analysis of target behavior in the field of early warning surveillance and command decision, starting from the intersection of information fusion and data mining, this paper summarizes and analyzes the target behavior analysis technologies based on trajectory data mining from the aspects of target regular behavior mining, target anomaly behavior detection, target frequent behavior online classification, target anomaly behavior real-time detection. The difficulties and challenges are discussed from the theoretical framework, challenges of big data, granularity control, multiple factors restriction, application direction. Several hot research directions with research value in this field are put forward.
潘新龙, 程学旗, 王海鹏, 何友, 李敏波. 基于航迹数据挖掘的目标行为分析概述[J]. 指挥与控制学报, 2021, 7(4): 335-341.
PAN Xin-Long, CHENG Xue-Qi, WANG Hai-Peng, HE You, LI Min-Bo. An Overview of Target Behavior Analysis Based on Trajectory Data Mining. Journal of Command and Control, 2021, 7(4): 335-341.
2021, Vol. 7 
