We present a real-time technique for the spatiotemporal segmentation of color/depth movies. Images are segmented using a parallel Metropolis algorithm implemented on a GPU utilizing both color and depth information, acquired with the Microsoft Kinect. Segments represent the equilibrium states of a Potts model, where tracking of segments is achieved by warping obtained segment labels to the next frame using real-time optical flow, which reduces the number of iterations required for the Metropolis method to encounter the new equilibrium state. By including depth information into the framework, true objects boundaries can be found more easily, improving also the temporal coherency of the method. The algorithm has been tested for videos of medium resolutions showing human manipulations of objects. The framework provides an inexpensive visual front end for visual preprocessing of videos in industrial settings and robot labs which can potentially be used in various applications.

This research has received funding by the EU GARNICS project FP7-247947 and the EU IntellAct project FP7-269959. B.Dellen acknowledges support from the Spanish Ministry for Science and Innovation via a Ramon y Cajal fellowship. K. Pauwels acknowledges support from CEI BioTIC GENIL (CEB09-0010) of the MICINN CEI program.

Trabajo presentado al WACV celebrado en Breckenridge (USA) del 9 al 11 de enero de 2012.

Peer reviewed