problems caused by Camshift in such scenes. Because the SURF algorithm has the advantage of good object recognition, the implementation of the SpeedUp Robust Features (SURF) in the Camshift algorithm will greatly improve the tracking accuracy and the tracking reliability of the object. The improved method ensures the good real-time performance of the tracking, greatly improves the tracking accuracy of the object by UAV, and eventually achieves a better tracking effect of the moving object.
International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 97–101
produce lower-resolution levels of reference and input images; then, the Speeded Up Robust Features (SURF) algorithm is utilized for quickly searching for matching points. After the coarse registration is completed, the Harris operator is used to extract feature points, and initial correspondences are established using the normalized cross-correlation to achieve the fine registration. Second, in order to remove mismatched points, the RANdom SAmple Consensus (RANSAC) algorithm is applied to putative
Sang Rok Lee
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 690–702
International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 360–379