Publisher
Springer Nature Singapore
Reference20 articles.
1. Bae, S.H., Yoon, K.J.: Confidence-based data association and discriminative deep appearance learning for robust online multi-object tracking. IEEE Trans. Pattern Anal. Mach. Intell. 40(3), 595–610 (2017)
2. Chu, Q., Ouyang, W., Li, H., Wang, X., Liu, B., Yu, N.: Online multi-object tracking using cnn-based single object tracker with spatial-temporal attention mechanism. In: Proceedings of the IEEE international conference on computer vision, pp. 4836–4845 (2017)
3. Czyz, J., Ristic, B., Macq, B.: A particle filter for joint detection and tracking of multiple objects in color video sequences. In: 2005 7th International Conference on Information Fusion. vol. 1, p. 7. IEEE (2005)
4. Grabner, H., Bischof, H.: On-line boosting and vision. In: 2006 IEEE computer society conference on computer vision and pattern recognition (CVPR’06). vol. 1, pp. 260–267. IEEE (2006)
5. Grabner, H., Leistner, C., Bischof, H.: Semi-supervised on-line boosting for robust tracking. In: European conference on computer vision, pp. 234–247. Springer (2008)