Efficient Parallel TLD on CPU-GPU Platform for Real-Time Tracking |
Chen, Zhaoyun
(College of Computer, National University of Defense Technology)
Huang, Dafei (Southwest Electronics and Telecommunication Technology Research Institute) Luo, Lei (College of Computer, National University of Defense Technology) Wen, Mei (College of Computer, National University of Defense Technology) Zhang, Chunyuan (College of Computer, National University of Defense Technology) |
1 | D. Lee, J. Sim and C. Kim, "Visual tracking using pertinent patch selection and masking," in Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 3486-3493, June 23-28, 2014. |
2 | A. Yilmaz, O. Javed and M. Shah, "Object tracking: A survey," ACM computing surveys (CSUR), vol. 38, no. 4, pp. 13, 2006. DOI |
3 | Y. Wu, J. LimandM. Yang, "Online object tracking: A Benchmark," in Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 2411-2418, June 23-28, 2013. |
4 | H. Nam and B. Han, "Learning multi-domain convolutional neural networks for visual tracking," in Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 4293-4302, June 27-30, 2016. |
5 | L. Bertinetto, J. Valmadre, J. Henriques, A. Vedaldi and P. Torr, "Fully-convolutional Siamese Networks for Object Tracking," in Proc. of Workshop of the European Conf. on Computer Vision (ECCV), pp. 850-865, October 15-16, 2016. |
6 | M. Danelljan, A. Robinsson, F. Khan and M. Felsberg, "Beyond correlation filters: Learning continuous convolution operators for visual tracking," in Proc. of the European Conf. on Computer Vision (ECCV), pp. 472-488, October 11-14, 2016. |
7 | C. Sun, H. Lu and M. Yang, "Learning Spatial-Aware Regressions for Visual Tracking," in Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 8962-8970, June 18-22, 2018. |
8 | M. Danelljan, G. Bhat, F. Khan and M. Felsberg, "Eco: Efficient convolution operators for tracking," in Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 6931-6939, July 21-26, 2017. |
9 | T. Xu, Z. Feng, X. Wu and Kittler J, "Learning Adaptive Discriminative Correlation Filters via Temporal Consistency preserving Spatial Feature Selection for Robust Visual Tracking," in arXiv:1807.11348, 2018. |
10 | Snapdragon 835 mobile platform, 2017. https://www.qualcomm.com/products/snapdragon/processors/835 |
11 | J. E. Stone, M. J. Hallock, J. C. Phillips, J. R. Peterson, Z. Luthey-Schulten and K. Schulten, "Evaluation of emerging energy-efficient heterogeneous computing platforms for biomolecular and cellular simulation workloads," in Proc. of Parallel and Distributed Processing Symposium Workshops, pp. 89-100, May 23-27, 2016. |
12 | TOP500, "Top500 lists: November 2010," 2010. https://www.top500.org/lists/2010/11/highlights |
13 | Open Multi-Processing, 2015. http://www.openmp.org |
14 | NVIDIA Corporation, "CUDA C Programming Guide," 2012. http://developer.download.nvidia.com/compute/DevZone/docs/html/C/doc/CUDA_C_Programming_Guide.pdf |
15 | A. Munshi, "The OpenCL Specification," 2011. http://www.khronos.org/opencl |
16 | Z. Kalal, K. Mikolajczyk and J. Matas, "Tracking-learning-detection," IEEE transactions on pattern analysis and machine intelligence (PAMI), vol. 34, no. 7, pp. 1409-1422, 2012. DOI |
17 | C. Ma, X. Yang, C. Zhang and M. Yang, "Long-term correlation tracking," in Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 5388-5396, June 7-12, 2015. |
18 | Z. Kalal, "OpenTLD," 2011. https://github.com/zk00006/OpenTLD |
19 | Z. Zhu, Q. Wang, B. Li, W. Wu, J. Yan and W. Hu, "Distractor-aware siamese networks for visual object tracking," in Proc. of the European Conf. on Computer Vision (ECCV), pp. 103-119, September 8-14, 2018. |
20 | H. Fan and H. Ling, "Parallel tracking and verifying: A framework for real-time and high accuracy visual tracking," in Proc. of IEEE International Conf. on Computer Vision (ICCV), pp. 5487-5495, October 22-29, 2017. |
21 | D. Concha, R. Cabido, J. J. Pantrigo and A. Montemayor, "Performance evaluation of a 3D multi-view-based particle filter for visual object tracking using GPUs and multicore CPUs," Journal of Real-Time Image Processing, vol. 15, no. 2, pp. 309-327, 2018. DOI |
22 | J. A. Brown and D. W. Capson, "A framework for 3D model-based visual tracking using a GPU-accelerated particle filter," IEEE transactions on visualization and computer graphics, vol. 18, no. 1, pp. 68-80, 2012. DOI |
23 | I. Gurcan and A. Temizel, "Heterogeneous CPU-GPU tracking-learning-detection (H-TLD) for real-time object tracking," Journal of Real-Time Image Processing, vol. 16, no. 2, pp. 339-353, 2019. DOI |
24 | P. Guo, X. Li, S. Ding, Z. Tian and X. Zhang, "Adaptive and accelerated tracking-learning-detection," in Proc. of International Symposium on Photoelectronic Detection and Imaging, June 25-27, 2013. |
25 | J. P. Lewis, "Fast normalized cross-correlation," Circuits Systems and Signal Processing, vol. 28, no. 6, pp. 819-843, 2009. DOI |