Static Object Tracking in Road Panoramic Videos

In panoramic videos, the object movement between adjacent side images leads to deformation and discontinuity, which makes the traditional video tracking approaches insufficient. An effective static object tracking algorithm is proposed in this paper to resolve the tracking problems from the deformation and discontinuity in cubic panorama. The algorithm extends the relevant side images with boundary consistency, and then conducts a background eliminated mean-shift algorithm to track objects on the extended images. Experiment results show that the algorithm can track static objects correctly in reasonable situations in real-time.