Hiding Moving Objects in Video Sequences

Hiding moving objects in video sequences is an interesting topic in computer vision. In this thesis, a real-time single object tracking and removal method is proposed. An input video is assumed to be captured with static video camera. Motion detection is based on a background subtraction using Mixture of Gaussians as the representation of background. The object tracking is realized by a combination of blobs comparison and computation of optical flow using Lucas-Kanade method. Consequent object removal makes use of created background model