基于车尾中轴特征的粒子滤波跟踪算法

摘要

为了解决车载视频背景实时变化的情况下车辆检测和跟踪问题，提出了一种基于车尾中轴特征的车辆识别及跟踪算法，其特点在于采用新颖的车尾中轴特征。车尾中轴特征具体为以两盏刹车灯为端点，车牌在端点连线的对称轴上。算法在取得目标区域之后计算其直方图信息，进行粒子滤波器跟踪。最后测试了算法的可行性。%In order to solve the case of vehicle video background changes in real time vehicle detection and tracking issues, this article raises a rear axle feature-based vehicle identification and tracking algorithm. Its characteristic is using innovative rear axle feature. Axial characteristics are specific for the two in the rear brake light for the endpoint, license plate at the end line of the axis of symmetry. Algorithm will calculate its histogram information after obtaining the target area and particle filter tracking. Finally, we test the feasibility of algorithms.