Motion estimation and segmentation in depth and intensity videos

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 that contain depth and intensity information, such as videos captured by a Time of Flight camera. Specifically, we present a motion estimation algorithm which is based on integration of depth and intensity data. The resulting motion information is used to derive long-term point trajectories. A segmentation technique groups the trajectories according to their motion and depth similarity into spatio-temporal segments. Quantitative and qualitative analysis of synthetic and real world videos verify the proposed motion estimation and segmentation approach. The proposed framework extracts independently moving objects from videos recorded by a Time of Flight camera.

Reference

S. Ghuffar, N. Brosch, N. Pfeifer, M. Gelautz: "Motion estimation and segmentation in depth and intensity videos"; Integrated Computer-Aided Engineering, 21 (2014), 3; 203 - 218.

BibTeX

@article{TUW-221776,     author = {Ghuffar, Sajid and Brosch, Nicole and Pfeifer, Norbert and Gelautz, Margrit},     title = {Motion estimation and segmentation in depth and intensity videos},     journal = {Integrated Computer-Aided Engineering},     year = {2014},     volume = {21},     number = {3},     pages = {203--218},     url = {http://iospress.metapress.com/content/d3w46m66j418548r/},     doi = {10.3233/ICA-130456},     keywords = {ToF camera, range flow, optical flow, motion estimation, segmentation} } 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.