[1] [1] STAUFFER C, GRIMSON W E L. Adaptive background mixture models for real-time tracking［J］.Computer Society Conference on Computer Vision and Pattern Recognition,1999,2: 2246.

[2] [2] HOFMANN M, TIEFENBACHER P, RIGOLL G. Background segmentation with feedback: the pixel-based adaptive segmenter［C］.USA: IEEE, 2012.

[3] [3] BARNICH O, VAN DROOGENBROECK M. ViBe: A universal background subtraction algorithm for video sequences［J］. IEEE Transactions on Image Processing, 2011, 20(6): 1709-1724.

[4] [4] NVIDIA.CUDA C Programming Guide,PG-02829-001_v8.0, 2017.5 ［EB/OL］.［2017-10-15］. https: //docs.nvidia.com/cuda/cuda-c-programming-guide.

[5] [5] NVIDIA.CUDA C Best Practices Guide,DG-05603-001_v8.0, 2017.5 ［EB/OL］.［2017-10-15］. https: //docs.nvidia.com/cuda/cuda-c-best-practices-guide.

[6] [6] NVIDIA. CUDA Quick Start Guide, DU-05347-301_v8.0, 2017.5 ［EB/OL］. ［2018-09-10］.https: //docs.nvidia.com/cuda/cuda-quick-start-guide.

[7] [7] NVIDIA.NVIDIA Jetson TX2 System-on-Modul, v1.1, 20e［EB/OL］. ［2017-12-12］.https: //developer.nvidia.com/embedded/jetson-tx2.

[8] [8] NVIDIA.Jetson TX1 and TX2 Developer Kits,DA_07976_001_01, 2017.7［EB/OL］. ［2017-12-10］.https: //developer.nvidia.com/embedded/dlc/l4t-28-1-jetson-developer-kit-user-guide.

[9] [9] NVIDIA. Pascal Architecture Whitepaper,V1.2, 2017［EB/OL］. ［2017-12-13］.https: //images.nvidia.com/content/pdf/tesla/whitepaper/pascal-architecture-whitepaper.pdf.

[10] [10] ZUO Haorui, ZHANG Qiheng, XU Yong, et al. Fast sobel edge detection algorithm based on GPU［J］. Opto-Electronic Engineering, 2009, 36(1): 8-12.

[11] [11] TANG Tao, PENG Lin, HUANG Chun, et al. Performance analysis of GPU programs towards better memory hierarchy design［J］. Computer Science, 2017, 44(12): 1-10.

[12] [12] YAN Fabao, SU Yanrui, ZHAO Zhanfeng, et al. Optimization on FFT of small size in real-time image restoration based on GPU［J］. Journal of Central South University: Science and Technology, 2017, 48(10): 2691-2696.

[13] [13] PARK S I, PONCE S P, HUANG J, et al. Low-cost, high-speed computer vision using NVIDIAs CUDA architecture［C］.USA: IEEE, 2008.

[14] [14] BERNABE S, LOPEZ S, PLAZA A, et al. GPU implementation of an automatic target detection and classification algorithm for hyperspectral image analysis［J］. IEEE Geoscience and Remote Sensing Letters, 2013, 10(2): 221-225.

[15] [15] YAO G L, LEI T, ZHONG J D, et al. Comparative evaluation of background subtraction algorithms in remote scene videos captured by MWIR sensors［J］. Sensors, 2017, 17(9): 1945.

[16] [16] MARTIN P J, AYUSO L F, TORRES R, et al. Algorithmic strategies for optimizing the parallel reduction primitive in CUDA［C］.USA: IEEE, 2012.

[17] [17] ELLIOTT G A, ANDERSON J H. Real-world constraints of GPUs in real-time systems［C］. USA: IEEE, 2011.

[18] [18] NVIDIA.Curand Library Programming Guide, PG-05328-050 _v8.0, 2016.2［EB/OL］.［2018-12-15］. https: //developer.nvidia.com/curand.