为提高目标属性识别精度,本文以证据理论为基础,提出一种跟踪辅助目标识别方法。通过在属性融合中引入目标的跟踪信息,增加了属性融合空间的维数,改进了目标的识别性能,提高了目标的识别正确度。实验结果证明了这一方法的有效性,特别是在属性测量传感器较少的情况下,这一方法更有其实际意义。 In order to improve the recognition accuracy of target attributes, this paper proposes a tracking target recognition method based on evidence theory. By introducing the target tracking information into the attribute fusion, the dimensionality of the attribute fusion space is increased, the recognition performance of the target is improved, and the recognition accuracy of the target is improved. The experimental results prove the effectiveness of this method, especially in the case of fewer attribute measurement sensors, this method has more practical significance.