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.