YES - YEt another object segmentation: Exploiting camera movement

We address the problem of object segmentation in image sequences where no a-priori knowledge of objects is assumed. We take advantage of robots' ability to move, gathering multiple images of the scene. Our approach starts by extracting edges, uses a polar domain representation and performs integration over time based on a simple dilation operation. The proposed system can be used for providing reliable initial segmentation of unknown objects in scenes of varying complexity, allowing for recognition, categorization or physical interaction with the objects. The experimental evaluation on both self-captured and a publicly available dataset shows the efficiency and stability of the proposed method.

[1]  Dieter Fox,et al.  A large-scale hierarchical multi-view RGB-D object dataset , 2011, 2011 IEEE International Conference on Robotics and Automation.

[2]  Guojun Lu,et al.  Segmentation of moving objects in image sequence: A review , 2001 .

[3]  Loong Fah Cheong,et al.  Active segmentation with fixation , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[4]  Paul F. Whelan,et al.  Image segmentation based on the integration of colour-texture descriptors - A review , 2011, Pattern Recognit..

[5]  Danica Kragic,et al.  Active 3D Segmentation through Fixation of Previously Unseen Objects , 2010, BMVC.

[6]  Antonios Gasteratos,et al.  Enhancement of Perceptually Salient Contours using a Parallel Artificial Cortical Network , 2006, Biological Cybernetics.

[7]  Jitendra Malik,et al.  Using contours to detect and localize junctions in natural images , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[8]  Luc Van Gool,et al.  The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.

[9]  Danica Kragic,et al.  Attention-based active 3D point cloud segmentation , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[10]  Yiannis Aloimonos,et al.  Visual Segmentation of Simple Objects for Robots , 2011, Robotics: Science and Systems.

[11]  A. Noë,et al.  A sensorimotor account of vision and visual consciousness. , 2001, The Behavioral and brain sciences.

[12]  Martial Hebert,et al.  Learning to Find Object Boundaries Using Motion Cues , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[13]  Danica Kragic,et al.  An Active Vision System for Detecting, Fixating and Manipulating Objects in the Real World , 2010, Int. J. Robotics Res..

[14]  Christof Koch,et al.  A Model of Saliency-Based Visual Attention for Rapid Scene Analysis , 2009 .

[15]  Giulio Sandini,et al.  On the Advantages of Polar and Log-Polar Mapping for Direct Estimation of Time-To-Impact from Optical Flow , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[16]  Gert Kootstra,et al.  Using Symmetry to Select Fixation Points for Segmentation , 2010, 2010 20th International Conference on Pattern Recognition.