关键词: 联合概率数据关联（JPDA）, 点状目标, 确认矩阵, 联合事件, 关联概率, 实时跟踪

Abstract: A JPDA based algorithm is presented for real-time tracking of dim moving point targets in image sequences according to the geometric relationships between confirmed measurements and multi-target validation gates.The validation matrixes are used to calculate all joint events and the corresponding parameters，regardless of whether the measurements fall inside intersection of several validation gates.The joint association probabilities are calculated between each measurements and their possible source targets according to the JPDA algorithm，and then the joint association probabilities are combined with the Kalman filter to accomplish the task of predicting and updating the status of each target.Theoretical and experimental results show that this algorithm has high real-time tracking performance，and provides high tracking accuracy.

Key words: Joint Probabilistic Data Association（JPDA）, dim point target, validation matrix, joint events, association probabilities, real-time tracking