Abstract
In this contribution we present a fast region based approach for distance estimation within a bottom-up visual attention model. The feature “depth” is utilized to focus the attention on objects that are closer to the mobile robot in order to accelerate the overall process of visual attention. Due to the fact that in the stereo algorithm we only search for corresponding segments determined by color segmentation, we provide a fast method for usage in mobile systems. Although we do not achieve very dense depth maps, the accuracy is sufficient for collision avoidance and the integration of the obtained depth map into the atte
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References
G. Backer: Modellierung visueller Aufmerksamkeit im Computer-Sehen: Ein zweistufiges Selektionsmodell für ein Aktives Sehsystem. Ph.D Thesis, University of Hamburg, Oct. 2003
G. Backer, B. Mertsching, M. Bollmann: Data and Model-Driven Gaze Control for am Active-Vision System. IEEE Trans. on PAMI, 23(12), Dec. 2001, pp. 1415–1429
S. Backer, R. Szeliski, P. Anandan: A layered approach to stereo reconstruction. Conference on Computer Vision and Pattern Recognition, Santa Barbara, CA, June 1998, pp. 434–441
R. Bajcsy: Active perception. Proceedings of the IEEE Vol. 76, Issue 8, Aug. 1988 pp. 966–1005
R. Brockers, M. Hund, B. Mertsching: Stereo matching with occlusion detection using cost relaxation. Accepted for: IEEE International Conference on Emerging Technologies, 2005
R. Brockers, R. Stemmer, S. Drue, G. Hartmann: A Stereo Camera System at a Robot’s Hand for Exhausting Engines. Proceedings of CISST 2000, Las Vegas, June 2000, vol. 1, pp. 123–130
H. D. Cheng, X. H. Jiang, Y. Sun, J. Wang: Color segmentation: advances and prospects. Pattern Recognition, vol. 34, Elsevier-Pergamon, 2001, pp. 2259–2281
E.P. Dadios, O. A. Maravillas: Cooperative mobile robots with obstacle and collision avoidance using fuzzy logic. Proceedings of the 2002 IEEE International Symposium on Intelligent Control, Oct. 2002, pp. 75–80
M. J. Hannah: Computer matching of areas in stereo images. PhD thesis, Stanford University, 1974
L. Itti, G. Rees, J. K. Tsotsos: Neurobiology of attention. Elsevier, San Diego, CA, Jan 2005, pp. 576–582
L. Itti, C. Koch, E. Niebur: A model of saliency-based visual attention for rapid scene analysis. IEEE Trans. on PAMI, Vol. 20, No. 11, Nov. 1998, pp. 1254–1259
L. Itti, C. Koch: A saliency-based search mechanism for overt and covert shifts of visual attention. Vision Research, vol. 40, 2000, pp. 1489–1506
T. Kanande: Development of a video-rate stereo machine. In Image Understanding Workshop, Monterey, CA, 1994, pp. 549–557
M. H. Lin, C. Tomasi: Surfaces with occlusions from layered stereo. IEEE Transactions on PAMI, Vol. 26, No. 8, August 2004, pp. 1073–1078
M. Okutomi, T. Kanade: A locally adaptive window for signal matching. International Journal for Computer Vision, 7(2), 1993, pp. 143–162
T. W. Ryan, R. T. Gray, B. R. Hunt: Prediction of correlation errors in stereo-pair images. Optical Engineering, 19(3), 1980, pp. 312–322
D. Scharstein, R. Szeliski: Stereo matching with nonlinear difussion. IJCV, 28(2), 1998, pp. 155–174
D. Scharstein, R. Szeliski: A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms. IJCV, 47(1–3), 2002, pp. 7–42
Q. Tian, M. N. Huhns: Algorithms for subpixel registration. CVGIP, No. 35, 1986, pp. 220–233
Y. Yang, A. Yuille, J. Lu: Local, global, and multilevel stereo matching. CVPR, 1993, pp. 274–279
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Aziz, M.Z., Stemmer, R., Mertsching, B. (2006). Region-based Depth Feature Map for Visual Attention in Autonomous Mobile Systems. In: Levi, P., Schanz, M., Lafrenz, R., Avrutin, V. (eds) Autonome Mobile Systeme 2005. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-30292-1_12
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DOI: https://doi.org/10.1007/3-540-30292-1_12
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