1 |
A. Dick and M. Brooks, "Issues in Automated Visual Surveillance," Proceeding of International Conference Digital Image Computing: Techniques and Application, pp. 195-204, 2003.
|
2 |
L. Wang, W. Ouyang, X. Wang, and H. Lu, "Visual Tracking with Fully Convolutional Networks," Proceeding of IEEE International Conference Computer Vision, pp. 3119-3127, 2015.
|
3 |
H. Yang, L. Shao, F. Zheng, L. Wang, and Z. Song, “Recent Advances and Trends in Visual Tracking: A Review,” Neurocomputing, Vol. 74, No. 18, pp. 3823-3831, 2011.
DOI
|
4 |
D. Comaniciu and P. Meer, “Mean Shift: A Robust Approach Toward Feature Space Analysis,” IEEE Transaction Pattern Analysis and Machine Intelligence, Vol. 24, No. 5, pp. 603-619, 2002.
DOI
|
5 |
J. Zhang, S. Ma, and S. Sclaroff, "Meem: Robust Tracking via Multiple Experts Using Entropy Minimization," Proceeding of European Conference Computer Vision, pp. 188-203, 2014.
|
6 |
M. Danelljan, G. Hager, F.S. Khan, and M. Felsberg, "Accurate Scale Estimation for Robust Visual Tracking," Proceeding of British Machine Vision Conference, pp. 1-11, 2014.
|
7 |
Z. Han, Q. Ye, and J. Jiao, “Combined Feature Evaluation for Adative Visual Object Tracking,” Computer Vision and Image Understanding, Vol. 115, No. 1, pp. 69-80, 2011.
DOI
|
8 |
X. Fen and G. Ming, "Human Detection and Tracking based on HOG and Particle Filter," International Congress on Image and Signal Processing, pp. 1503-1507, 2010.
|
9 |
J. Long, E. Shelhamer, and T. Darrell, "Fully Convolutional Networks for Semantic Segmentation," Proceeding of IEEE Conference Computer Vision and Pattern Recognition, pp. 3431-3440, 2015.
|
10 |
Y. LeCun, Y. Bengio, and G. Hinton, “Deep Learning,” Nature, Vol. 531, No. 7553, pp. 436-444, 2015.
|
11 |
K. Chen and W. Tao, "Once for All: A Two-flow Convolutional Neural Network for Visual Tracking," arXiv:1604.07507, 2016.
|
12 |
F. Chollet, "Keras," https://github.com/fchollet/keras (accessed Feb., 20, 2015).
|
13 |
D. Held, S. Thrun, and S. Savarese, "Learning to Tracking at 100 FPS with Deep Regression Networks," arXiv:1604.01802, 2016.
|
14 |
S. Zagoruyko and N. Komodakis, "Learning to Compare Image Patches via Convolutional Neural Networks," Proceeding of IEEE Conference Computer Vision and Pattern Recognition, pp. 4353-4361, 2015.
|
15 |
K. Simonyan and A. Zisserman, "Very Deep Convolutional Networks for Image Scale Image Recognition," arXiv:1409.4842, 2015.
|
16 |
M. Kristan, J. Matas, A. Leonardis, M. Felsberg, L. Cehovin, and G. Fernandez, et al., "The Visual Object Tracking VOT2015 Challenge Results," Proceeding of IEEE International Conference Computer Vision Workshops, pp. 1-23, 2015.
|
17 |
M. Kristan, R. Pflugfelder, A. Leonardis, J. Matas, F. Poriki, and L. Cehovin, et, al., "The Visual Object Tracking VOT2013 Challenge Results," Proceeding of IEEE International Conference Computer Vision Workshops, pp. 1-14, 2013.
|
18 |
S. Lim, D. Y. Kim, “Object Tracking using Feature Map from Convolutional Neural Network,” Journal of Korea Multimedia Society, Vol. 20, No. 2, pp. 126-133, 2017.
DOI
|