Occlusion modeling by tracking multiple objects

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

Volumn 4713 LNCS, Issue , 2007, Pages 173-183

  Schmaltz, Christian ^a   Rosenhahn, Bodo ^b   Brox, Thomas ^c   Weickert, Joachim ^a   Cremers, Daniel ^c   Wietzke, Lennart ^d   Sommer, Gerald ^d  

^a SAARLAND UNIVERSITY   (Germany)

^b MAX PLANCK INSTITUTE FOR INFORMATICS   (Germany)

^c UNIVERSITY OF BONN   (Germany)

^d UNIVERSITY OF KIEL   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; MATHEMATICAL MODELS; OPTIMIZATION; PROBLEM SOLVING;

CALIBRATED CAMERA; PROPOSED ALGORITHM;

OBJECT RECOGNITION;

EID: 38149103520     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74936-3_18     Document Type: Conference Paper

References (17)

1. Abidi, M.A., Chandra, T.: Pose estimation for camera calibration and landmark tracking. In: Proc. International Conf. Robotics and Automation, Cincinnati, May 1990, vol. 1, pp. 420-426 (1990)
2. Agarwal, A., Triggs, B.: Recovering 3D human pose from monocular images. IEEE Transactions on Pattern Analysis and Machine Intelligence 28(1) (January 2006)
3. Beveridge, J.: Local Search Algorithms for Geometric Object Recognition: Optimal Correspondence and Pose. PhD thesis, Department of Computer Science, University of Massachusetts, Amherst (May 1993)
4. Brox, T., Rosenhahn, B., Weickert, J.: Three-dimensional shape knowledge for joint image segmentation and pose estimation. In: Kropatsch, W.G., Sablatnig, R., Hanbury, A. (eds.) Pattern Recognition. LNCS, vol. 3663, pp. 109-116. Springer, Heidelberg (2005)
5. Drummond, T., Cipolla, R.: Real-time tracking of multiple articulated structures in multiple views. In: Vernon, D. (ed.) ECCV 2000. LNCS, vol. 1843, pp. 20-36. Springer, Heidelberg (2000)
6. Goddard, J.: Pose And Motion Estimation From Vision Using Dual Quaternion-Based Extended Kalman Filtering. PhD thesis, Imaging, Robotics, and Intelligent Systems Laboratory, University of Tennessee, Knoxville-College of Engineering, Tennessee (1997)
7. Grimson, W., Lozano-Perez, T., Huttenlocher, D.: Object Recognition by Computer: The Role of Geometric Constraints. MIT Press, Baton (1990)
8. Hue, C., Cadre, J.L., Perez, P.: Tracking multiple objects with particle filtering. IEEE Trans. on Aerospace and Electronic Systems 38(3), 791-812 (2002)
9. Kriegman, D., Vijayakumar, B., Ponce, J.: Constraints for recognizing and locating curved 3D objects from monocular image features. In: Sandini, G. (ed.) ECCV 1992. LNCS, vol. 588, pp. 829-833. Springer, Heidelberg (1992)
10. Lowe, D.: Solving for the parameters of object models from image descriptions. In: Proc. ARPA Image Understanding Workshop, College Park, April 1980, pp. 121-127 (1980)
11. Murray, R.M., Li, Z., Sastry, S.S.: A Mathematical Introduction to Robotic Manipulation. CRC Press, Boca Raton (1994)
12. Rosenhahn, B., Sommer, G.: Adaptive pose estimation for different corresponding entities. In: Van Gool, L. (ed.) Pattern Recognition. LNCS, vol. 2449, pp. 265-273. Springer, Heidelberg (2002)
13. Schmaltz, C., Rosenhahn, B., Brox, T., Cremers, D., Weickert, J., Wietzke, L., Sommer, G.: Region-based pose tracking. In: Martí, J., Benedi, J.M., Mendonça, A.M., Serrat, J. (eds.) Pattern Recognition and Image Analysis, Girona, Spain, June 2007. LNCS, vol. 4478, pp. 56-63. Springer, Heidelberg (2007)
14. Shevlin, F.: Analysis of orientation problems using Plucker lines. In: Proc. 14th International Conference on Pattern Recognition, Washington, DC, USA, vol. 1, pp. 685-689. IEEE Computer Society Press, Los Alamitos (1998)
15. Särkkä, S., Vehtari, A., Lampinen, J.: Rao-Blackwellized Monte Carlo data association for multiple target tracking. In: Proc. 7th International Conference on Information Fusion, vol. 1, pp. 583-590 (2004)
16. Taycher, L., Shakhnarovich, G., Demirdjian, D., Darrell, T.: Conditional random people: Tracking humans with CRFs and grid filters. In: Proc. 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, New York, NY, December 2006, pp. 222-229. IEEE Computer Society Press, New York (2006)
17. Winkler, S., Wunsch, P., Hirzinger, G.: A feature map approach to real-time 3-D object pose estimation from single 2-D perspective views. In: Paulus, E., Wahl, F. (eds.) Mustererkennung 1997 (Proc. DAGM), pp. 129-136. Springer, Berlin (1997)