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Results: 45
Number of items: 45
  • Open Access
    Kooij, J. F. P., Schneider, N., Flohr, F., & Gavrila, D. M. (2014). Context-based Pedestrian Path Prediction. In D. Fleet, T. Pajdla, B. Schiele, & T. Tuytelaars (Eds.), Computer Vision – ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014: proceedings (Vol. VI, pp. 618-633). (Lecture Notes in Computer Science; Vol. 8694). Springer. https://doi.org/10.1007/978-3-319-10599-4_40
  • Open Access
    Liem, M. C. (2014). Multi-person localization and orientation estimation in volumetric scene reconstructions. [Thesis, fully internal, Universiteit van Amsterdam].
  • Liem, M. C., & Gavrila, D. M. (2013). A comparative study on multi-person tracking using overlapping cameras. In M. Chen, B. Leibe, & B. Neumann (Eds.), Computer Vision Systems: 9th International Conference, ICVS 2013, St. Petersburg, Russia, July 16-18, 2013: proceedings (pp. 203-212). (Lecture Notes in Computer Science; Vol. 7963). Springer. https://doi.org/10.1007/978-3-642-39402-7_21
  • Liem, M. C., & Gavrila, D. M. (2013). Person Appearance Modeling and Orientation Estimation using Spherical Harmonics. In FG 2013: 10th IEEE International Conference on Automatic Face and Gesture Recognition: Shanghai, China, April 22-26, 2013 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/FG.2013.6553728
  • Open Access
    Flohr, F., & Gavrila, D. M. (2013). PedCut: an iterative framework for pedestrian segmentation combining shape models and multiple data cues. In T. Burghardt, D. Damen, W. Mayol-Cuevas, & M. Mirmehdi (Eds.), Proceedings of the British Machine Vision Conference: BMVC 2013: Bristol, 9-13 Sept (pp. 66.1-66.11). BMVA Press. https://doi.org/10.5244/C.27.66
  • Open Access
    Schneider, N., & Gavrila, D. M. (2013). Pedestrian Path Prediction with Recursive Bayesian Filters: A Comparative Study. In J. Weickert, M. Hein, & B. Schiele (Eds.), Pattern Recognition: 35th German Conference, GCPR 2013, Saarbrücken, Germany, September 3-6, 2013: proceedings (pp. 174-183). (Lecture Notes in Computer Science; Vol. 8142). Springer. https://doi.org/10.1007/978-3-642-40602-7_18
  • Kooij, J. F. P., Englebienne, G., & Gavrila, D. M. (2012). A non-parametric hierarchical model to discover behavior dynamics from tracks. In A. Fitzgibbon, S. Lazebnik, P. Perona, Y. Sato, & C. Schmid (Eds.), Computer Vision – ECCV 2012: 12th European Conference on Computer Vision: Florence, Italy, October 7-13, 2012: proceedings (Vol. 6, pp. 270-283). (Lecture Notes in Computer Science; Vol. 7577). Springer. https://doi.org/10.1007/978-3-642-33783-3_20
  • Dang, T., Desens, J., Franke, U., Gavrila, D., Schäfers, L., & Ziegler, W. (2012). Steering and evasion assist. In A. Eskandarian (Ed.), Handbook of intelligent vehicles (pp. 759-782). Springer. https://doi.org/10.1007/978-0-85729-085-4_29
  • Open Access
    Hofmann, M., & Gavrila, D. M. (2012). Multi-view 3D human pose estimation in complex environment. International Journal of Computer Vision, 96(01), 103-124. https://doi.org/10.1007/s11263-011-0451-1
  • Keller, C. G., Hermes, C., & Gavrila, D. M. (2011). Will the pedestrian cross? Probabilistic path prediction based on learned motion features. In R. Mester, & M. Felsberg (Eds.), Pattern Recognition: 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31-September 2 2011: proceedings (pp. 386-395). (Lecture Notes in Computer Science; Vol. 6835). Springer. https://doi.org/10.1007/978-3-642-23123-0_39
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