[1] |
任俊, 魏霞, 黄德启, 等. 基于眼睛状态多特征融合的疲劳驾驶检测[J]. 计算机工程与设计, 2022, 43(11): 3187-3194.
|
|
REN Jun, WEI Xia, HUANG Deqi, et al. Fatigue driving detection based on eye state multi-feature fusion[J]. Compu Eng Des, 2022, 43(11): 3187-3194. (in Chinese)
|
[2] |
徐少平, 张贵珍, 林珍玉, 等. 一种多图像局部结构化融合的低照度图像增强算法[J]. 自动化学报, 2022, 48(12): 2981-2995.
|
|
XU Shaoping, ZHANG Guizhen, LIN Zhenyu, et al. A low-illumination image enhancement algorithm based on multi-image local structured fusion[J]. Acta Automatica, 2022, 48(12): 2981-2995. (in Chinese)
|
[3] |
Verma A, Meenpal T, Acharya B. Human body pose distance image analysis for action recognition[J]. Int’l J Pattern Recog Artif Intel, 2022, 36(7): 2255012. 1-2255012.20.
|
[4] |
胡峰松, 程哲坤, 徐青云, 等. 基于多特征融合的疲劳驾驶状态识别方法研究[J]. 湖南大学学报(自然科学版), 2022, 49(4): 100-107.
|
|
HU Fengsong, CHENG Zhekun, XU Qingyun, et al. Research on Fatigue Driving State Recognition Based on Multi-feature Fusion[J]. J Hunan Univ (Nat Sci), 2022, 49(4): 100-107. (in Chinese)
|
[5] |
DU Zhouning, Mukaidani H. Linear dynamical systems approach for human action recognition with dual-stream deep features[J]. Appl Intell, 2021, 52(1): 452-470.
doi: 10.1007/s10489-021-02367-6
|
[6] |
田垚, 李建良, 郭秋蕊, 等. 多特征因素的疲劳驾驶检测方法[J]. 天津科技大学学报, 2022, 37(2): 29-34.
|
|
TIAN Yao, LI Jianliang, GUO Qiurei, et al. Fatigue driving detection method based on multi-characteristic factors[J]. J Tianjin Univ Sci Tech, 2022, 37(2): 29-34. (in Chinese)
|
[7] |
巩霞, 魏浩然. 基于图像增强的纯蓝墨水手写档案修复仿真[J]. 计算机仿真, 2022, 39(10): 481-485.
|
|
GONG Xia, WEI Haoran. Simulation of handwritten file restoration with pure blue ink based on image enhancement[J]. Computer Simu, 2022, 39(10): 481-485. (in Chinese)
|
[8] |
林俊彦, 刘春晓, 章金凯, 等. 面向纹理平滑的方向性滤波尺度预测模型[J]. 中国图象图形学报, 2022, 27(8): 2506-2515.
|
|
LIN Junyan, LIU Chunxiao, ZHANG Jinkai, et al. Directional filter scale prediction model for texture smoothing[J]. Chin J Image Graph, 2022, 27(8): 2506-2515. (in Chinese)
|
[9] |
毕秀丽, 邱雨檬, 肖斌, 等. 基于统计特征的图像直方图均衡化检测方法[J]. 计算机学报, 2021, 44(2): 292-303.
|
|
BI Xiuli, QIU Yumeng, XIAO Bin, et al. Image Histogram Equalization Detection Based on Statistical Features[J]. J Compu Sci, 2021, 44(2): 292-303. (in Chinese)
|
[10] |
XU Canran, PENG Zizhao, HU Xuanzhen, et al. FPGA-Based low-visibility enhancement accelerator for video sequence by adaptive histogram equalization with dynamic clip-threshold[J]. IEEE Trans Circuits Syst, I: Regular Papers, 2020, 67(11): 3954-3964.
|
[11] |
李小平, 白超. 基于深度学习的司机疲劳驾驶检测方法研究[J]. 铁道学报, 2021, 43(6): 78-87.
|
|
LI Xiaoping, BAI Chao. Research on driver fatigue detection based on deep learning[J]. J Railways, 2021, 43(6): 78-87. (in Chinese)
|
[12] |
张海民, 程菲. 深度学习下盲人避撞路径导航方法研究[J]. 南京信息工程大学学报, 2022, 14(2): 220-226.
|
|
ZHANG Haimin, CHENG Fei. Research on Blind Collision Avoidance Navigation Based on Deep Learning[J]. J Nanjing Univ Info Sci Tech, 2022, 14(2): 220-226. (in Chinese)
|
[13] |
张闯, 朱天军, 李学民. 基于深度学习和面部多特征融合的驾驶员疲劳检测研究[J]. 计算机测量与控制, 2022, 30(12): 42-50.
|
|
ZHANG Chuang, ZHU Tianjun, LI Xuemin. Driver fatigue detection based on deep learning and multi-feature fusion[J]. Compu Meas Control, 2022, 30(12): 42-50. (in Chinese)
|
[14] |
张福玲, 张少敏, 支力佳, 等. 融合注意力机制和特征金字塔网络的CT图像肺结节检测[J]. 中国图象图形学报, 2021, 26(9): 2156-2170.
|
|
ZHANG Fuling, ZHANG Shaomin, ZHI Lijia, et al. Detection of pulmonary nodules in CT images by fusion of attention mechanism and characteristic pyramid network[J]. Chin J Image Graph, 2021, 26(9): 2156-2170. (in Chinese)
|
[15] |
陈广秋, 陈昱存, 李佳悦, 等. 基于DNST和卷积稀疏表示的红外与可见光图像融合[J]. 吉林大学学报(工学版), 2021, 51(3): 996-1010.
|
|
CHEN Guangqiu, CHEN Yucun, LI Jiayue, et al. Infrared and visible image fusion based on DNST and convolution sparse representation[J]. J Jilin Univ (Eng Tech Ed), 2021, 51(3): 996-1010. (in Chinese)
|