This paper investigates motion estimation and segmentation of independently moving objects in video sequences from a range camera. Specifically, we present a motion estimation algorithm which is based on fusion of range flow and opti- cal flow constraint equations. The flow fields are used to de- rive long-term point trajectories. A segmentation technique groups the trajectories according to their motion and depth similarity into spatio-temporal objects. We show results on a real world scene captured with a time of flight camera.
S. Ghuffar, N. Brosch, N. Pfeifer, M. Gelautz: "Motion Segmentation in Videos from Time of Flight Cameras"; Talk: International Conference on Systems, Signals and Image Processing, Vienna; 04-11-2012 - 04-13-2012; in: "Proceedings of 9th International Conference on Systems, Signals and Image Processing (IWSSIP 2012)", (2012), ISBN: 978-3-200-02588-2; 342 - 346.
Click into the text area and press Ctrl+A/Ctrl+C or ⌘+A/⌘+C to copy the BibTeX into your clipboard… or download the BibTeX.