1. Feizi, A., "Convolutional gating network for object tracking",
International Journal of Engineering,
Transactions A: Basics, Vol. 32, No. 7, (2019), 931-939. DOI:
0.5829/IJE.2019.32.07A.05
2. Sadegh Moghadasi, S. and Faraji, N., "An efficient target tracking algorithm based on particle filter and genetic algorithm",
International Journal of Engineering,
Transactions A: Basics, Vol. 32, No. 7, (2019), 915-923. DOI:
10.5829/IJE.2019.32.07A.03
3. Liu, J.S., Chen, R. and Logvinenko, T., A theoretical framework for sequential importance sampling with resampling, in Sequential monte carlo methods in practice. 2001, Springer.225-246. DOI: 10.1007/978-1-4757-3437-9_11
4. Zhao, Z., Wang, T., Liu, F., Choe, G., Yuan, C. and Cui, Z., "Remarkable local resampling based on particle filter for visual tracking",
Multimedia Tools and Applications, Vol. 76, No. 1, (2017), 835-860. DOI:
10.1007/s11042-015-3075-6
5. Hong, S., Chin, S.-S., Djurić, P.M. and Bolić, M., "Design and implementation of flexible resampling mechanism for high-speed parallel particle filters", Journal of VLSI Signal Processing Systems for Signal, Image and Video Technology, Vol. 44, No. 1-2, (2006), 47-62. DOI: : 10.1007/s11265-006-5919-9
6. Abd El-Halym, H.A., Mahmoud, I.I. and Habib, S., "Proposed hardware architectures of particle filter for object tracking",
EURASIP Journal on Advances in Signal Processing, Vol. 2012, No. 1, (2012), 17. DOI:
10.1186/1687-6180-2012-17
7. Li, T., Bolic, M. and Djuric, P.M., "Resampling methods for particle filtering: Classification, implementation, and strategies",
IEEE Signal Processing Magazine, Vol. 32, No. 3, (2015), 70-86. DOI:
10.1109/MSP.2014.2330626
8. Bolić, M., Djurić, P.M. and Hong, S., "Resampling algorithms for particle filters: A computational complexity perspective",
EURASIP Journal on Advances in Signal Processing, Vol. 2004, No. 15, (2004), 403686. DOI:
10.1155/S1110865704405149
9. Pan, Y., Zheng, N., Tian, Q., Yan, X. and Huan, R., "Hierarchical resampling algorithm and architecture for distributed particle filters",
Journal of Signal Processing Systems, Vol. 71, No. 3, (2013), 237-246. DOI:
10.1007/s11265-012-0712-4
10. Gan, Q., Langlois, J.P. and Savaria, Y., "A parallel systematic resampling algorithm for high-speed particle filters in embedded systems",
Circuits, Systems, and Signal Processing, Vol. 33, No. 11, (2014), 3591-3602. DOI:
10.1007/s00034-014-9820-7
11. Douc, R. and Cappé, O., "Comparison of resampling schemes for particle filtering", in ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, IEEE. (2005), 64-69. DOI: 10.1109/ISPA.2005.195385
12. Hong, S.-H., Shi, Z.-G., Chen, J.-M. and Chen, K.-S., "A low-power memory-efficient resampling architecture for particle filters",
Circuits, Systems and Signal Processing, Vol. 29, No. 1, (2010), 155-167. DOI:
10.1007/s00034-009-9117-4
13. Murray, L., "Gpu acceleration of the particle filter: The metropolis resampler", arXiv Preprint arXiv:1202.6163, (2012).
14. Sankaranarayanan, A.C., Srivastava, A. and Chellappa, R., "Algorithmic and architectural optimizations for computationally efficient particle filtering", IEEE Transactions on Image Processing, Vol. 17, No. 5, (2008), 737-748. DOI: 10.1109/TIP.2008.920760
15. Hong, S., Shi, Z. and Chen, K., "Easy-hardware-implementation mmpf for maneuvering target tracking: Algorithm and architecture",
Journal of Signal Processing Systems, Vol. 61, No. 3, (2010), 259-269. DOI:
10.1007/s11265-010-0450-4
16. Medina, A.R., "Hardware-based particle filter with evolutionary resampling stage", Master thesis, 3-2014, Universidad Politécnica de Madrid, (2014)