Object tracking in low frame-rate video sequences

The problem of tracking moving objects in a video sequence is a well known and well researched problem in Computer Vision. Tracking moving objects is a basic tool which allows the development of solutions to complex problems such as target acquisition, automatic surveillance, action recognition, etc. Tracking problems and solutions generally deal with video that has relatively good frame-rates, i.e. from 15 to 30 frames per second, and the objects in motion do not exhibit huge jumps. However, if the video frame rate is low or, more precisely, the objects in motion move large distances from frame to frame, current tracking methods will perform very poorly This thesis proposes a method of tracking that will allow for large spatial discontinuities in object motion and still be able to track successfully. It demonstrates the feasibility of tracking in these sequences. Results are given from application of the proposed method to video sequences taken at 2 frames per second