Detection and segmentation of independently moving objects from dense scene flow

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5681 LNCS, Issue , 2009, Pages 14-27

  Wedel, Andreas ^a   Meißner, Annemarie ^a   Rabe, Clemens ^a   Franke, Uwe ^a   Cremers, Daniel ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

CAMERA MOVEMENT; ERROR PROPAGATION; IMAGE DOMAIN; MOVING OBJECTS; NON-RIGID OBJECTS; REFERENCE FRAME; REFERENCE IMAGE; RELIABILITY MEASURE; SCENE FLOW; STEREO CAMERA SYSTEM; THREE-DIMENSIONAL MOTION; TRANSLATION VECTOR;

BINOCULARS; CAMERAS; COMPUTER VISION; THREE DIMENSIONAL;

OPTICAL FLOWS;

EID: 70350605617     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-03641-5_2     Document Type: Conference Paper

References (18)

1. Sun, J., Zhang, W., Tang, X., Shum, H.: Background Cut. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3952, pp. 628-641. Springer, Heidelberg (2006)
2. Vidal, R., Sastry, S.: Optimal segmentation of dynamic scenes from two perspective views. In: 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Proceedings., vol. 2 (2003)
3. Brox, T., Rosenhahn, B., Cremers, D., Seidel, H.P.: High accuracy optical flow serves 3-D pose tracking: exploiting contour and flow based constraints. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3952, pp. 98-111. Springer, Heidelberg (2006)
4. Cremers, D., Soatto, S.: Motion competition: A variational framework for piecewise parametric motion segmentation 62(3), 249-265 (2005)
5. Kolmogorov, V., Criminisi, A., Blake, A., Cross, G., Rother, C.: Bi-layer segmentation of binocular stereo video, vol. 2 (2005)
6. Wedel, A., Pock, T., Braun, J., Franke, U., Cremers, D.: Duality TV-L1 flow with fundamental matrix prior. In: Proc. Image and Vision Computing New Zealand, Christchurch, New Zealand (November 2008)
7. Valgaerts, L., Bruhn, A., Weickert, J.: A variational approach for the joint recovery of the optical flow and the fundamental matrix, Munich, Germany, June 2008, pp. 314-324 (2008)
8. Zhang, G., Jia, J., Xiong, W., Wong, T., Heng, P., Bao, H.: Moving object extraction with a hand-held camera, pp. 1-8 (2006)
9. Vaudrey, T., Wedel, A., Rabe, C., Klappstein, J., Klette, R.: Evaluation of moving object segmentation comparing 6D-Vision and monocular motion constraints. In: Proc. Image and Vision Computing New Zealand, Christchurch, New Zealand (November 2008)
10. Boykov, Y., Kolmogorov, V.: An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision, pp. 1124-1137 (2004)
11. Kolmogorov, V., Zabih, R.: What energy functions can be minimized via graph cuts? In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2352, pp. 65-81. Springer, Heidelberg (2002)
12. Klappstein, J., Stein, F., Franke, U.: Detectability of Moving Objects Using Correspondences over Two and Three Frames. In: Hamprecht, F.A., Schnörr, C., Jähne, B. (eds.) DAGM 2007. LNCS, vol. 4713, pp. 112-121. Springer, Heidelberg (2007)
13. Huguet, F., Devernay, F.: A variational method for scene flow estimation from stereo sequences. In: IEEE Eleventh International Conference on Computer Vision, ICCV 2007, Rio de Janeiro, Brazil (October 2007)
14. Wedel, A., Rabe, C., Vaudrey, T., Brox, T., Franke, U., Cremers, D.: Efficient dense scene flow from sparse or dense stereo data. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part I. LNCS, vol. 5302, pp. 739-751. Springer, Heidelberg (2008)
15. Hirschmüller, H.: Stereo vision in structured environments by consistent semi-global matching, pp. 2386-2393 (2006)
16. Shimizu, M., Okutomi, M.: Precise sub-pixel estimation on area-based matching, pp. 90-97 (2001)
17. Bruhn, A.,Weickert, J.: A confidence measure for variational optic flow methods. Geometric Properties for Incomplete Data (March 2006)
18. University of Auckland: enpeda. Image Sequence Analysis Test Site (EISATS) (2008), http://www.mi.auckland.ac.nz/EISATS/