Camera Based Motion Tracking by Camera Images
Tran Lan Anh Nguyen, Jeong-Hwan Kim, Guee-Sang Lee · International Conference on Human-Computer Interaction · 2011
In this paper, a motion tracking method for built-in camera mobile phones is proposed based on global motion estimation. By using Three-Step Search algorithm, block based motion vectors are first extracted from each of two adjacent frames. Motion vector outliers are then removed by a rejection cascade algorithm. Finally, a perspective model is applied to estimate the global motion vector and perform the movement of mobile phone. The simulated experimental results from real recording videos show that the proposed method generates acceptable motion estimation by performing a smooth trajectory under most conditions of movement in a reasonable processing time.