Motion Segmentation in Videos from Time of Flight Cameras

By Sajid Ghuffar, Nicole Brosch, Norbert Pfeifer, and Margrit Gelautz

Abstract

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.

Reference

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.

BibTeX

@inproceedings{TUW-207912,     author = {Ghuffar, Sajid and Brosch, Nicole and Pfeifer, Norbert and Gelautz, Margrit},     title = {Motion Segmentation in Videos from Time of Flight Cameras},     booktitle = {Proceedings of 9th International Conference on Systems, Signals and Image Processing (IWSSIP 2012)},     year = {2012},     pages = {342--346},     url = {http://publik.tuwien.ac.at/files/PubDat_207912.pdf},     isbn = {978-3-200-02588-2},     keywords = {range flow, segmentation, ToF camera},     note = {Vortrag: International Conference on Systems, Signals and Image Processing, Vienna; 2012-04-11 -- 2012-04-13} } 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.