Robust algorithm for motion analysis based on Active Tubes

Determining motion of objects is a very important and difficult problem. Many researches have been studied in this field. We previously presented a new model, named Active Tubes, to find motion of non-rigid objects from an image sequence. Active Tubes analyzes the temporal context in a spatio-temporal solid using an energy minimizing model like Snakes. You can consider it as a kind of accumulation of Snakes along the time axis. In the former paper, we used greedy algorithm to converge Active Tubes. In, this paper, we point out greedy algorithm´s weakness to noise, and propose an extended algorithm to deform Active Tubes. The new algorithm is as fast as greedy algorithm and more robust from noise