摘要
提出一种运动目标自适应检测、跟踪算法。该算法利用自适应运动的检测算法,实现目标运动判断,减少了系统程序的计算量。根据图像处理提取的目标特征,采用卡尔曼滤波器,跟踪预测目标的搜索区域,从而建立每个目标的“目标链”,快速实现多目标的数据关联。实验证明,该算法保证了多目标跟踪的准确性、稳定性和连续性。
This paper proposes an algorithm for self-adaptive checking and tracking of moving object, which, when adopted, can realize the judgment of moving object and reduce computational complexity. According to the features of object extracted by image processing, Kalman filter is used to track and predicate the search areas of object, and then object chain is set up to realize the multi-object data correlation. The experiment demonstrates that the algorithm guarantees the accuracy, stability and continuity of multi-object tracking.
出处
《武汉科技大学学报》
CAS
2007年第2期189-191,共3页
Journal of Wuhan University of Science and Technology
基金
武汉科技大学科研基金资助项目(2004XY19)
关键词
图像处理
特征提取
卡尔曼滤波
image processing
feature extraction
Kalman filter
