A tracking algorithm based on SIFT
一种基于SIFT的遮挡目标跟踪算法

To resolve moving objects sheltering, a new object tracking algorithm is presented. The first three frames are used to establish the background model. Then, contiguous-frame subtracting and background subtracting are used to separate the moving objects automatically. SIFT feature is computed for each moving object. When sheltering is detected, SIFT features are used to match the sheltered region with the single moving object. The location of single moving objects in the sheltered region is located by the coordinate of the feature points. Then, RANSAC is used to optimize the SIFT features matching. Experiments show that our algorithm can track the sheltered objects accurately. It can effectively resolve moving objects sheltering and track moving objects continuously and stably.