A Review on the Movement of Object Detection and Video Stabilization for Aerial Surveillance System

Aerial videos are mostly useful videos for different area work. There is main problem in aerial videos is that the video is not in stable position there are motions are detected in video. To get that video stable we use SIFT and SURF algorithms. Scale Invariant Feature Transform(SIFT) with its high accuracy and relatively low computation time, become the de-facto standard. Speeded Up Robust Feature(SURF) which has been shown to yield comparable or better results to SIFT while having a fraction of the computational cost. Both algorithms give results that are invariant to scale, rotation, occlusion, change in illumination and noise.