电光与控制, 2018, 25 (11): 102, 网络出版: 2018-11-25
结合Kalman滤波的时空上下文目标跟踪算法
STC Target Tracking Algorithm Based on Kalman Filter
摘要
STC目标跟踪算法是一种基于贝叶斯框架、使用跟踪目标与目标周围区域的时空关系达到跟踪目的的跟踪算法, 但是当目标快速移动或者受到剧烈干扰时容易丢失跟踪的目标。将时空上下文目标跟踪算法与Kalman滤波相结合, 使用Kalman滤波对目标的位置进行预测, 并使用STC目标跟踪算法对预测结果进行校正。结合Kalman滤波和STC的目标跟踪算法能在目标被遮挡或存在干扰目标情况下实现有效跟踪。实验结果表明, 将STC目标跟踪算法与Kalman滤波结合后在目标跟踪中比单纯的STC目标跟踪算法具有更好的准确性和鲁棒性。
Abstract
The Spatio-Temporal Context (STC) target tracking algorithm is based on the Bayesian framework and uses the spatio-temporal relationship between the tracked target and its surroundings to achieve the purpose of target tracking.However, it is easy to lose the tracked target when the target is rapidly moving or violently interfered.Therefore, in this paper, the STC target tracking algorithm is combined with Kalman filtering, the position of the target is predicted by using Kalman filter, and the prediction result is corrected by using the STC target tracking algorithm.The target tracking algorithm combining Kalman filtering and STC can realize effective target tracking when the target is occluded or when there is interference targets.The experimental results demonstrate that the accuracy and robustness of the proposed target tracking algorithm are better than that of the original STC target tracking algorithm.
张新堃, 黄山. 结合Kalman滤波的时空上下文目标跟踪算法[J]. 电光与控制, 2018, 25(11): 102. ZHANG Xin-kun, HUANG Shan. STC Target Tracking Algorithm Based on Kalman Filter[J]. Electronics Optics & Control, 2018, 25(11): 102.