Evaluation of motion analysis on synthetic and real-world image sequences

International Conference Image and Vision Computing New Zealand

Volumn , Issue , 2010, Pages

  Yang, Xi ^a   Klette, Reinhard ^a  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

BBPW; CLG; Horn Schunck; Motion analysis; optical flow; performance evaluation; TV L 1

Indexed keywords

BBPW; CLG; HORN-SCHUNCK; MOTION ANALYSIS; PERFORMANCE EVALUATION; TV-L 1;

ALGORITHMS; OPTICAL FLOWS; STEREO VISION;

EDGE DETECTION;

EID: 84858979205     PISSN: 21512191     EISSN: 21512205     Source Type: Conference Proceeding    
DOI: 10.1109/IVCNZ.2010.6148794     Document Type: Conference Paper

References (14)

1. Barron J.L., Fleet D.J., Beauchemin S.: Performance of optical flow techniques. Int. J. Computer Vision, 12: 4377, 1994.
2. Brox T. Bruhn A. Papenberg N. and Weickert J.: High accuracy optical flow estimation based on a theory for warping. In Proc. ECCV, volume 4, LNCS 3024, pages 25-36, Springer, Berlin, 2004.
3. Bruhn A., Weickert J. and Schno'rr C.: Lucas/Kanade meets horn/Schunck: Combining local and global optic flow methods. Int. J. Computer Vision, 61:211-231, 2005.
4. EISATS: The.enpeda. Image Sequence Analysis Test Site. http://www.mi.auckland.ac.nz/EISATS.
5. Franke U., Rabe C., Badino H., and Gehrig S.: 6D-vision - Fusion of stereo and motion for robust environment perception. In: DAGM, LNCS 3663, pages 216-223, Springer, Heidelberg, 2005. (Pubitemid 41520657)
6. Guan S. and Klette R.: Belief-propagation on edge images for stereo analysis of image sequences. In: Robot Vision, LNCS 4931, pages 291302, Springer, Berlin, 2008.
7. Handschack H. and Klette R.: Evaluation of differential methods for image velocity measurement. Computers Artificial Intelligence, 14:81-104, 1996.
8. Horn B., and Schunck B.: Determining optical flow. Artificial Intelligence, 17:185-203, 1981.
9. Liu Z. and Klette R.: Approximated ground truth for stereo and motion analysis on real-world sequences. In: PSIVT, LNCS 5414, pages 874-885, 2009.
10. Middlebury College Computer Vision web site: see http://vision. middlebury.edu.
11. Milburn J.: Dense optical flow for night-vision stereo sequences. COMPSCI789 Report, Computer Science, The University of Auckland, 2008.
12. Morales S., Vaudrey T. and Klette R.: An in-depth robustness evaluation of stereo algorithms on long stereo sequences. In: IEEE Intelligent Vehicles Symposium, pages 347-352, 2009.
13. Vaudrey T., Wedel A., and Klette R.: A methodology for evaluating illumination artifact removal for corresponding images. In: CAIP, LNCS 5702, pages 1113-1121, Springer, Berlin, 2009.
14. 1 optical flow. In Proc. Dagstuhl Visual Motion Analysis Workshop, LNCS 5604, pages 23-45, Springer, Berlin, 2009.