Author:
Nguyen Phi-Vu,Le Hoai-Bac
Publisher
Springer Berlin Heidelberg
Reference14 articles.
1. Arulampalam, S., Maskell, S., Gordon, N., Clapp, T.: A tutorial on Particle Filters for Online Nonlinear/Non-Gaussian Bayesian Tracking. In: IEEE Transactions on Signal Processing, vol. 50(2) (February 2002)
2. Doucet, A., Freitas, N., Gordon, N.: Sequential Monte Carlo Methods in Practice. Springer, Heidelberg (2001)
3. Doucet, A., Godsill, S.J., Andrieu, C.: On sequentialMonte Carlo samplingmethods for Bayesian filtering. Statistics and Computing 10(3), 197–208 (2000)
4. Le, H.-B., Pham, N.-T., Le-Nguyen, T.-V.: Applied Particle Filter in Traffic Tracking. In: Proceedings of IEEE International on Research, Innovation & Vision for the Future in Computing and Communication Technologies, RIVF 2006 (2006)
5. Hue, C., Cadre, J.P., Perez, P.: Tracking multiple objects with Particle Filtering. IEEE Transactions on Aerospace and Electronic Systems 38(3), 791–812 (2002)
Cited by
10 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
1. Gaussian-Sum Filter for Range-based 3D Relative Pose Estimation in the Presence of Ambiguities;2024 IEEE Conference on Control Technology and Applications (CCTA);2024-08-21
2. Removing nuisance in tracklet data;Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies II;2018-10-08
3. Development of Advanced Driver Assistance System Using Intelligent Surveillance;International Conference on Computer Networks and Communication Technologies;2018-09-18
4. A Differential Evolution Based Multiclass Vehicle Detector and Classifier for Urban Environments;Intelligent Systems;2018
5. Illegal Parking Detection Using Gaussian Mixture Model and Kalman Filter;2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA);2017-10