关键词: 运动目标, 实时跟踪, 特征点光流, 卡尔曼滤波

Abstract:

A tracking method for motion objects is proposed based on the feature-point optical flow,which is then applied to the real-time tracking of moving vehicles in the intelligent traffic system.In the proposed method,the Kalman filtration and the polygonal tracking strategy are adopted,thus simplifying and stabilizing the tracking.Si-mulated results indicate that the proposed method can accurately determine the maneuvering target,extract the fea-ture points,implement the computing and clustering of the feature-point optical flow and recognize moving objects.Moreover,it is of less computation and is easy to implement.

Key words: motion object, real-time tracking, feature-point optical flow, Kalman filtration