Author:
Jin Cheng-Bin,Dung Do Trung,Liu Mingjie,Kim Hakil
Reference36 articles.
1. Yamin H, Peng Z, Zhuo T, et al. Going deeper with two-stream ConvNets for action recognition in video surveillance. Pattern Recognition Letters. 2017 (available online). DOI: 10.1016/j.patrec.2017.08.015
2. Andreas S, Rainer S. Pedestrian intention recognition using latent-dynamic conditional random fields. In: Intelligent Vehicles Symposium (IV). Seoul, South Korea: IEEE; June 28–July 01, 2015. pp. 622-627
3. Michalis V, Christophoros N, Loannis K. A review of human activity recognition methods. Frontiers in Robotics and Artificial Intelligence. 2015;2(28):1-28. DOI: 10.3389/frobt.2015.00028
4. Wang H, Klaser A, Schmid C, et al. Action recognition by dense trajectories. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR ‘11). Colorado Springs, USA: IEEE; June 20-25, 2011. pp. 3169-3176
5. Wang H, Schmid C. Action recognition with improved trajectories. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV ‘13). Sydney, Australia: IEEE; December 3-6, 2013. pp. 3551-3558
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献