Is crowdsourcing for optical flow ground truth generation feasible?

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

Volumn 7963 LNCS, Issue , 2013, Pages 193-202

  Donath, Axel ^a   Kondermann, Daniel ^a  

^a UNIVERSITY OF HEIDELBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BASELINE METHODS; DRIVER ASSISTANCE SYSTEM; FEATURE ANNOTATION; MEASUREMENT DEVICE; MOVING OBJECTS; NON-RIGID MOTION; OUTDOOR SCENES; PERFORMANCE ANALYSIS;

COMPUTER VISION; PIXELS;

OPTICAL FLOWS;

EID: 84881229872     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-39402-7_20     Document Type: Conference Paper

References (11)

1. Geiger, A., Lenz, P., Urtasun, R.: Are we ready for autonomous driving? The kitti vision benchmark suite. In: Computer Vision and Pattern Recognition (CVPR), Providence, USA (June 2012)
2. Butler, D.J., Wulff, J., Stanley, G.B., Black, M.J.: A naturalistic open source movie for optical flow evaluation. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part VI. LNCS, vol. 7577, pp. 611-625. Springer, Heidelberg (2012)
3. Meister, S., Jähne, B., Kondermann, D.: Outdoor stereo camera system for the generation of real-world benchmark data sets. Optical Engineering 51 (2012)
4. Liu, C., Freeman, W.T., Adelson, E.H., Weiss, Y.: Human-assisted motion annotation. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), pp. 1-8 (2008)
5. Sun, D., Roth, S., Black, M.J.: Secrets of optical flow estimation and their principles. In: Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2010), pp. 2432-2439. IEEE (2010)
6. Baker, S., Scharstein, D., Lewis, J.P., Roth, S., Black, M.J., Szeliski, R.: A database and evaluation methodology for optical flow. International Journal of Computer Vision 92(1), 1-31 (2011)
7. Meister, S., Kondermann, D.: Real versus realistically rendered scenes for optical flow evaluation. In: Proceedings of 14th ITG Conference on Electronic Media Technology, Informatik Centrum Dortmund e.V. (2011)
8. McCane, B., Novins, K., Crannitch, D., Galvin, B.: On benchmarking optical flow (2001), http://of-eval.sourceforge.net/
9. Mac Aodha, O., Brostow, G.J., Pollefeys, M.: Segmenting video into classes of algorithm-suitability. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010), pp. 1054-1061 (2010)
10. Vaudrey, T., Rabe, C., Klette, R., Milburn, J.: Differences between stereo and motion behaviour on synthetic and real-world stereo sequences. In: Proc. of 23rd International on Conference Image and Vision Computing New Zealand (IVCNZ 2008), pp. 1-6 (2008)
11. Spiro, I., Taylor, G., Williams, G., Bregler, C.: Hands by hand: Crowd-sourced motion tracking for gesture annotation. In: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 17-24. IEEE (2010)