Title :
Relative depth from monocularoptical flow
Author :
Meinhardt-Llopis, Enric ; D´Hondt, Olivier ; Facciolo, Gabriele ; Caselles, Vicent
Abstract :
We present a method to compute the relative depth of moving objects in video sequences. The method relies on the fact that the boundary between two moving objects follows the movement of the object which is closest to the camera. Thus, the input of the method is a segmentation (to know the boundaries of objects) and an optical flow (to know the movement of the objects). The output of the method is a relative ordering of the neighboring segments. In fact, this output only provides a cue of the desired relative ordering, just like T-junctions typically provide a cue of the relative ordering of the objects around them. These cues can be used later as heuristics or as starting points for higher-level algorithms for image and video-processing.
Keywords :
image motion analysis; image segmentation; image sequences; video signal processing; image processing; monocular optical flow; moving object relative depth; relative ordering method; segmentation method; video processing; video sequence; Adaptive optics; Computer vision; Conferences; Observers; Optical imaging; Optical mixing; Video sequences; depth estimation; monocular; optical flow; segmentation;
Conference_Titel :
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location :
Brussels
Print_ISBN :
978-1-4577-1304-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2011.6115892