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All issues Volume 277 (2019) MATEC Web Conf., 277 (2019) 01003 References
Open Access
Issue
MATEC Web Conf.
Volume 277, 2019
2018 International Joint Conference on Metallurgical and Materials Engineering (JCMME 2018)
Article Number 01003
Number of page(s) 8
Section Metallurgy & Control and Manufacturing
DOI https://doi.org/10.1051/matecconf/201927701003
Published online 02 April 2019
  1. Breitenstein, M. D., Reichlin, F., Leibe, B., Koller-Meier, E., & Van Gool, L. (2011). Online multiperson tracking-by-detection from a single, uncalibrated camera. IEEE transactions on pattern analysis and machine intelligence, 33(9), 1820-1833. [CrossRef] [Google Scholar]
  2. Avidan, S. (2007). Ensemble tracking. IEEE transactions on pattern analysis and machine intelligence, 29(2). [Google Scholar]
  3. Andriyenko, A., Roth, S., & Schindler, K. (2011, November). An analytical formulation of global occlusion reasoning for multi-target tracking. In Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on (pp. 1839-1846). IEEE. [Google Scholar]
  4. Gao, J., Ling, H., Hu, W., & Xing, J. (2014, September). Transfer learning based visual tracking with gaussian processes regression. In European Conference on Computer Vision (pp. 188-203). Springer, Cham. [Google Scholar]
  5. Hu, W., Li, X., Luo, W., Zhang, X., Maybank, S., & Zhang, Z. (2012). Single and Multiple object tracking using log-Euclidean Riemannian subspace and block-division appearance model. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(12), 2420-2440. [CrossRef] [Google Scholar]
  6. Ferryman, J., & Shahrokni, A. (2009, December). Pets2009: Dataset and challenge. In Performance Evaluation of Tracking and Surveillance (PETS-Winter), 2009 Twelfth IEEE International Workshop on (pp. 1-6). IEEE. [Google Scholar]
  7. Kasturi, R., Goldgof, D., Soundararajan, P., Manohar, V., Garofolo, J., Bowers, R.,... & Zhang, J. (2009). Framework for performance evaluation of face, text, and vehicle detection and tracking in video: Data, metrics, and protocol. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(2), 319-336. [CrossRef] [Google Scholar]
  8. Zhang, J., Presti, L. L., & Sclaroff, S. (2012, September). Online multi-person tracking by tracker hierarchy. In Advanced Video and Signal-Based Surveillance (AVSS), 2012 IEEE Ninth International Conference on (pp. 379-385). [Google Scholar]
  9. Leal-Taixé, L., Pons-Moll, G., & Rosenhahn, B. (2011, November). Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker. In Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on (pp. 120-127). IEEE. [Google Scholar]
  10. Pirsiavash, H., Ramanan, D., & Fowlkes, C. C. (2011, June). Globally-optimal greedy algorithms for tracking a variable number of objects. In Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on (pp. 1201-1208). IEEE. [Google Scholar]
  11. Bae, S. H., & Yoon, K. J. (2014). Robust online multi-object tracking based on tracklet confidence and online discriminative appearance learning. In Proceedings of the IEEE conference on computer vision and pattern recognition(pp. 1218-1225). [Google Scholar]
  12. Geiger, A., Lauer, M., Wojek, C., Stiller, C., & Urtasun, R. (2014). 3d traffic scene understanding from movable platforms. IEEE transactions on pattern analysis and machine intelligence, 36(5), 1012-1025. [CrossRef] [Google Scholar]
  13. Dicle, C., Camps, O. I., & Sznaier, M. (2013, December). The way they move:Tracking multiple targets with similar appearance. In Computer Vision (ICCV), 2013 IEEE International Conference on (pp. 2304-2311). IEEE. [CrossRef] [Google Scholar]
  14. Leal-Taixé, L., Fenzi, M., Kuznetsova, A., Rosenhahn, B., & Savarese, S. (2014). Learning an image-based motion context for multiple people tracking. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 3542-3549). [Google Scholar]
  15. Rezatofighi, S. H., Milan, A., Zhang, Z., Shi, Q., Dick, A. R., & Reid, I. D. (2015, December). Joint Probabilistic Data Association Revisited. In ICCV (pp. 3047-3055). [Google Scholar]
  16. Bewley, A., Ge, Z., Ott, L., Ramos, F., & Upcroft, B. (2016, September). Simple online and realtime tracking. In Image Processing (ICIP), 2016 IEEE International Conference on(pp. 3464-3468). IEEE. [CrossRef] [Google Scholar]
  17. Yoon, J. H., Yang, M. H., Lim, J., & Yoon, K. J. (2015, January). Bayesian multiobject tracking using motion context from multiple objects. In Applications of Computer Vision (WACV), 2015 IEEE Winter Conference on (pp. 33-40). IEEE. [Google Scholar]
  18. Fagot-Bouquet, L., Audigier, R., Dhome, Y., & Lerasle, F. (2015, September). Online multi person tracking based on global sparse collaborative representations. In Image Processing (ICIP), 2015 IEEE International Conference on(pp. 2414-2418). IEEE. [CrossRef] [Google Scholar]

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