1 |
王勇, 王沙沙, 田增山, 等. 基于FMCW雷达的双流融合神经网络手势识别方法[J].电子学报, 2019, 47(7): 1408-1415.
|
|
WANG Y, WANG S S, TIAN Z S, et al. Two-stream fusion neural network approach for hand gesture recognition based on FMCW radar[J]. Acta Electronica Sinica, 2019, 47(7): 1408-1415. (in Chinese)
|
2 |
SAYED U, MOFADDEL M A, BAKHEET S, et al. An elliptical boundary skin model for hand detection based on HSV color space[J]. Information Sciences Letters, 2018, 7(1):13-17.
|
3 |
LIU C, WANG J, ZHANG T, et al. Adaptive threshold gesture segmentation algorithm based on skin color[C]//Proceedings of 2016 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics(AMEII 2016). Hangzhou: Computer Science and Electronic Technology International Society, 2016: 1602-1605.
|
4 |
ZHENG Y, ZHENG P. Hand segmentation based on improved gaussian mixture model[C]//2015 International Conference on Computer Science and Applications (CSA). Wuhan: IEEE, 2015:168-171.
|
5 |
CONAIRE C O, O'CONNOR N E, SMEATON A F. Detector adaptation by maximising agreement between independent data sources[C]//Conference on Computer Vision and Pattern Recognition. Minneapolis, MN, USA: IEEE, 2007: 1-6.
|
6 |
WANG X, FANG Y, LI C, et al. Static gesture segmentation technique based on improved sobel operator[J]. The Journal of Engineering, 2019, 2019(22).
|
7 |
TOFIGHI G, MONADJEMI S A, GHASEM-AGHAEE N. Rapid hand posture recognition using adaptive histogram template of skin and hand edge contour[C]//Iranian Conference on Machine Vision and Image Processing. Isfahan: IEEE, 2010: 1-5.
|
8 |
CHEN D, LI G, SUN Y, et al. Fusion hand gesture segmentation and extraction based on CMOS sensor and 3D sensor[J]. International Journal of Wireless and Mobile Computing, 2017, 12(3): 305-312.
|
9 |
LONG J, SHELHAMER E, DARRELL T. Fully convolutional networks for semantic segmentation[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Boston:IEEE, 2015: 3431-3440.
|
10 |
RONNEBERGER O, FISCHER P, BROX T. U-net: Convolutional networks for biomedical image segmentation[C]//International Conference on Medical Image Computing and Computer-assisted Intervention. Cham: Springer International Publishing, 2015: 234-241.
|
11 |
ZHAO H, SHI J, QI X, et al. Pyramid scene parsing network[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Honolulu: IEEE, 2017: 2881-2890.
|
12 |
CHEN L C, PAPANDREOU G, KOKKINOS I, et al. Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, 40(4): 834-848.
|
13 |
CHEN L C, PAPANDREOU G, SCHROFF F, et al. Rethinking atrous convolution for semantic image segmentation[EB/OL]. (2017-12-05)[2020-12-31]. .
|
14 |
CHEN L C, ZHU Y, PAPANDREOU G, et al. Encoder-decoder with atrous separable convolution for semantic image segmentation[C]//Proceedings of the European Conference on Computer Vision. Munich: Springer, 2018: 801-818.
|
15 |
DADASHZADEH A, TARGHI A T, TAHMASBI M, et al. HGR-Net: A fusion network for hand gesture segmentation and recognition[J]. IET Computer Vision, 2019, 13(8): 700-707.
|
16 |
卫保国, 徐勇, 刘金玮, 等. 融合SSD目标检测的自适应手势分割方法[J]. 信号处理, 2020, 36(07): 1038-1047.
|
|
WEI B G, XU Y, LIU J W, et al. Adaptive gesture segmentation based on SSD object detection[J]. Journal of Signal Processing, 2020, 36(7): 1038-1047. (in Chinese)
|
17 |
MOHANTY A, RAMBHATLA S S, SAHAY R R. Deep gesture: Static hand gesture recognition using CNN[C]//Proceedings of International Conference on Computer Vision and Image Processing. Singapore: Springer, 2017: 449-461.
|
18 |
YANG H L, XUAN S B, MO Y B. Hand gesture recognition based on convolution neural network[J]. Cluster Computing, 2019, 22(2): 2719-2729.
|
19 |
XING K, DING Z, JIANG S, et al. Hand gesture recognition based on deep learning method[C]//2018 IEEE Third International Conference on Data Science in Cyberspace (DSC). Guangzhou: IEEE, 2018: 542-546.
|
20 |
AMEEN S, VADERA S. A convolutional neural network to classify American Sign Language fingerspelling from depth and colour images[J]. Expert Systems, 2017, 34(3): e12197.
|
21 |
YU F, KOLTUN V. Multi-scale context aggregation by dilated convolutions[EB/OL]. (2016-04-30)[2020-12-31]. .
|
22 |
YANG M K, YU K, ZHANG C, et al. DenseASPP for semantic segmentation in street scenes[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City: IEEE, 2018. 3684-3692.
|
23 |
李宝奇, 贺昱曜, 何灵蛟, 等. 基于全卷积神经网络的非对称并行语义分割模型[J]. 电子学报, 2019, 47(5): 1058-1064.
|
|
LI B Q, HE Y Y, HE L J, et al. Asymmetric parallel semantic segmentation model based on full convolutional neural network[J]. Acta Electronica Sinica, 2019, 47(5): 1058-1064. (in Chinese)
|
24 |
孟琭, 徐磊, 郭嘉阳. 一种基于改进的MobileNetV2网络语义分割算法[J]. 电子学报, 2020, 48(9): 1769-1776.
|
|
MENG L, XU L, GUO J Y. Semantic segmentation algorithm based on improved MobileNetV2[J]. Acta Electronica Sinica, 2020, 48(9): 1769-1776. (in Chinese)
|
25 |
ADITHYA V, RAJESH R. A deep convolutional neural network approach for static hand gesture recognition[J]. Procedia Computer Science, 2020, 171:2353-2361.
|
26 |
ZHANG Q, YANG M, KPALMA K, et al. Segmentation of hand posture against complex backgrounds based on saliency and skin colour detection[J]. IAENG International Journal of Computer Science, 2018, 45(3): 435-444.
|
27 |
罗会兰, 张云. 基于深度网络的图像语义分割综述[J]. 电子学报, 2019, 47(10): 2211-2220.
|
|
LUO H L, ZHANG Y. A survey of image semantic segmentation based on deep network[J]. Acta Electronica Sinica, 2019, 47(10): 2211-2220.(in Chinese)
|
28 |
张庆锐. 复杂场景下的手势分割算法研究[D]. 山东: 山东大学, 2018.
|
|
ZHANG Q R. Research on Hand Gesture Segmentation Algorithm with Complex Background[D]. Shan Dong: Shandong University, 2018. (in Chinese)
|
29 |
GARCIA-GARCIA A, ORTS-ESCOLANO S, OPREA S, et al. A review on deep learning techniques applied to semantic segmentation[EB/OL]. (2017-04-22)[2020-12-31]. .
|
30 |
KAWULOK M, KAWULOK J, NALEPA J. Spatial-based skin detection using discriminative skin-presence features[J]. Pattern Recognition Letters, 2014, 41: 3-13.
|
31 |
KAWULOK M, KAWULOK J, SMOLKA B. Discriminative textural features for image and video colorization[J]. IEICE Transactions on Information and Systems, 2012, 95(7): 1722-1730.
|
32 |
JONES M J, REHG J M. Statistical color models with application to skin detection[J]. International Journal of Computer Vision, 2002, 46(1): 81-96.
|
33 |
CHENG M M, MITRA N J, HUANG X, et al. Global contrast based salient region detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014, 37(3): 569-582.
|
34 |
ZHAO H, QI X, SHEN X, et al. Icnet for real-time semantic segmentation on high-resolution images[C]//Proceedings of the European Conference on Computer Vision. Munich: Springer, 2018: 405-420.
|
35 |
TIAN Z, HE T, SHEN C H, et al. Decoders matter for semantic segmentation: Data-dependent decoding enables flexible feature aggregation[C]//2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Long Beach: IEEE, 2019: 3126-3135.
|
36 |
HOU Q B, ZHANG L, CHENG M M, et al. Strip pooling: Rethinking spatial pooling for scene parsing[C]//2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Seattle: IEEE, 2020: 4002-4011
|
37 |
SUN J H, JI T T, ZHANG S B,et al. Research on the hand gesture recognition based on deep learning[C]//2018 12th International Symposium on Antennas, Propagation and EM Theory (ISAPE). Hangzhou: IEEE, 2018: 1-4.
|
38 |
ARENAS J O P, MORENO R J, BELEÑO R D H. Convolutional neural network with a DAG architecture for control of a robotic arm by means of hand gestures[J]. Contemporary Engineering Sciences, 2018, 11(12): 547-557.
|
39 |
TAN Y S, LIM K M, TEE C, et al. Convolutional neural network with spatial pyramid pooling for hand gesture recognition[J]. Neural Computing and Applications, 2020: 1-13.
|
40 |
MEHTA S, RASTEGARI M, CASPI A, et al. Espnet: Eficient spatial pyramid of dilated convolutions for semantic segmentation[C]//Proceedings of the European Conference on Computer Vision (ECCV). Munich: Springer, 2018: 552-568.
|