1 |
A. Gautam, and S. Singh, (2019, December). "Trends in video object tracking in surveillance: a survey," in 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), Palladam: India, pp. 729-733, Dec. 2019.
|
2 |
A. Kuramoto, M. A. Aldibaja, R. Yanase, J. Kameyama, K. Yoneda, and N. Suganuma, "Mono-camera based 3d object tracking strategy for autonomous vehicles," in 2018 IEEE Intelligent Vehicles Symposium (IV), Changshu: China, pp. 459-464, Jun. 2018.
|
3 |
S. B. Park, and D. S. Yoo, "Three stage neural networks for direction of arrival estimation," The Journal of Korea Navigation Institute, Vol. 24, No. 1, pp. 47-52. Feb. 2020.
|
4 |
R. E. Kalman, "A new approach to linear filtering and prediction problems," Journal of Basic Engineering. Vol. 82, No. 1, pp. 35-45, 1960.
DOI
|
5 |
M. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, "A tutorial on particle filters for online nonlinear/nonGaussian bayesian tracking," IEEE Transactions on signal processing, Vol. 50, No. 2, pp. 174-188, 2002.
DOI
|
6 |
W. Liu, Z. Wang, X. Liu, N. Zeng, Y. Liu, and F. E. Alsaadi, "A survey of deep neural network architectures and their applications," Neurocomputing, Vol. 234, pp. 11-26, 2017.
DOI
|
7 |
M. Abadi, A. Agarwal, B. Paul, et al. (2016, Mar). Tensorflow: large-scale machine learning on heterogeneous distributed systems. Available: https://arxiv.org/abs/1603.04467.
|
8 |
M. Fiaz, A. Mahmood, S. Javed, and S. K. Jung, "Handcrafted and deep trackers: recent visual object tracking approaches and trends," ACM Computing Surveys (CSUR), Vol. 52, No. 2, pp.1-44, 2019.
|
9 |
M. Speekenbrink, "A tutorial on particle filters," Journal of Mathematical Psychology, Vol. 73, pp. 140-152, 2016.
DOI
|
10 |
S. Hochreiter, and J. Schmidhuber, "Long short-term memory," Neural Computation, Vol. 9, No. 8, pp. 1735-1780, 1997.
DOI
|