Video stabilization based on high degree B-spline smoothing

Yue Wang, Richard Chang, Teck Wee Chua, Karianto Leman, Nam Trung Pham

Abstract: Unmanned Aerial Vehicles (UAV) become widely used as they present many advantages for surveillance applications. However, most computer vision algorithms cannot be applied to the video sequences from UAV due to video shaking or blurredness. We propose a method to stabilize the image sequence from UAV cameras. This approach deals with three steps, a keypoint detection step, then a homography estimation and finally a motion compensation using high degree B-spline smoothing. Experimental results from real videos show that our method can perform real time and provide good performance.