基于改进压缩跟踪算法的航拍视频目标跟踪系统

Aerial Video Tracking System Based on Improved Compression Tracking Algorithm

针对航拍视频的特性,对经典的压缩跟踪(Compression tracking,CT)算法进行了研究,发现了CT算法在样本采集和分类取样步骤中的不足并进行了相应的改进。采用Kalman滤波器预测目标的运动路径,并将预测结果应用于样本采集,自适应地修改搜索范围。更新了分类器的取样反馈过程,先对分类结果进行判断,评分绝对值低于某一阈值的分类结果不反馈给分类器,有效地保持了分类器的正确性。在改进算法的基础上,开发了基于航拍视频的目标跟踪系统。通过与经典压缩跟踪算法在实际航拍道路视频的测试和对比,验证了本文算法的有效性和实时性。

An improved compression tracking （ICT） algorithm is proposed based on the characterisucs of aerial video. After study on classic compression tracking（CT） algorithm, some shortcomings in sample collection and classification of the sampling processing are found and improved. Kalman filter is used to predict the target movement path and the prediction results are applied to sample collection for adaptive research. The sampling and feedback of the classifier are updated by using the classification results after determined. Values lower than a certain threshold are not transfered to the classifier for classification, which ensures the correctness and the accuracy of the feedback of the classifier. Based on the proposed algorithm, a target tracking system is implemented for aerial video. Compared with the classic compression tracking algorithm in real aerial video, the effectiveness and real-time performance are tested and verified.