Accesso libero

Research on Static Gesture Recognition Based on Deep Learning

INFORMAZIONI SU QUESTO ARTICOLO

Cita

WENG H L, ZHAN Y W. Vision-based hand gesture recognition with multiple cues [J]. Computer engineering & science, 2012, 34(2):123–127. WENGH L ZHANY W Vision-based hand gesture recognition with multiple cues [J] Computer engineering & science 2012 34 2 123 127 Search in Google Scholar

Lü N, Yang Y J, Xu T. Sparse decomposition for data glove gesture recognition [C]. Proceedings of the 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). Piscataway, NJ: IEEE, 2017: 1–5. N YangY J XuT Sparse decomposition for data glove gesture recognition [C] Proceedings of the 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Piscataway, NJ: IEEE 2017 1 5 Search in Google Scholar

Pisharady P K, Vadakkepat P, Loh A P. Attention based detection and recognition of hand postures against complex backgrounds [J]. International Journal of Computer Vision, 2013, 101(3): 403–419 PisharadyP K VadakkepatP LohA P Attention based detection and recognition of hand postures against complex backgrounds [J] International Journal of Computer Vision 2013 101 3 403 419 Search in Google Scholar

Dai Y K, Zhou Z H, Chen X, et al. A novel method for simultaneous gesture segmentation an recognition based on HMM [C]. Proceedings of the 2017 International Symposium on Intelligent Signal Processing and Communication Systems. Piscataway, NJ: IEEE, November 6–9, 2017: 684–688. DaiY K ZhouZ H ChenX A novel method for simultaneous gesture segmentation an recognition based on HMM [C] Proceedings of the 2017 International Symposium on Intelligent Signal Processing and Communication Systems Piscataway, NJ: IEEE November 6–9, 2017 684 688 Search in Google Scholar

SERMANET P, KAVUKCUOGLU K, CHINTALA S, et al. Pedestrian detection with unsupervised multi-stage feature learning [C]// 2013 IEEE Conference on Computer Vision and Pattern Recognition. Portland: IEEE, 2013:3626–3633. SERMANETP KAVUKCUOGLUK CHINTALAS Pedestrian detection with unsupervised multi-stage feature learning [C] 2013 IEEE Conference on Computer Vision and Pattern Recognition Portland: IEEE 2013 3626 3633 Search in Google Scholar

ZHANG C, ZHANG Z. Improving multiview face detection with multi-task deep convolutional neural networks [C]// 2014 IEEE Winter Conference on Application of Computer Vision. Steamboat: IEEE, 2014:1036–1041. ZHANGC ZHANGZ Improving multiview face detection with multi-task deep convolutional neural networks [C] 2014 IEEE Winter Conference on Application of Computer Vision Steamboat: IEEE 2014 1036 1041 Search in Google Scholar

Girshick R, Donahue J, Darrell T, et al. Rich feature hierarchies for accurate object detection and semantic segmentation [C]. 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014: 580–587. GirshickR DonahueJ DarrellT Rich feature hierarchies for accurate object detection and semantic segmentation [C] 2014 IEEE Conference on Computer Vision and Pattern Recognition 2014 580 587 Search in Google Scholar

Ren S, He K, Girshick R, et al. Faster R -CNN: towards real-time object detection with region proposal networks [C]. International Conference on Neural Information Processing Systems. [S.l.]: MIT Press, 2015: 91–99. RenS HeK GirshickR Faster R -CNN: towards real-time object detection with region proposal networks [C] International Conference on Neural Information Processing Systems [S.l.]: MIT Press 2015 91 99 Search in Google Scholar

Redmon J, Divvala S, Girshick R, et al. You only look once: unified, real-time object detection [C]. IEEE Conference on Computer Vision and Pattern Recognition, 2016: 779–788. RedmonJ DivvalaS GirshickR You only look once: unified, real-time object detection [C] IEEE Conference on Computer Vision and Pattern Recognition 2016 779 788 Search in Google Scholar

Liu W, Anguelov D, Erhan D, et al. SSD: single shot multibox detector [C]. European Conference on Computer Vision. Springer International Publishing, 2016: 21–37. LiuW AnguelovD ErhanD SSD: single shot multibox detector [C] European Conference on Computer Vision Springer International Publishing 2016 21 37 Search in Google Scholar

WU Yaoling. YCrCb color space face detection algorithm based on the design and implementation [D]. Chengdu: University of Electronic Science and Technology of China, 2013. WUYaoling YCrCb color space face detection algorithm based on the design and implementation [D] Chengdu University of Electronic Science and Technology of China 2013 Search in Google Scholar

PENG Yaqin, CHENG Xiaogang. An optimized deep learning algorithm of convolutional neural networks [J]. Modern electronics technique, 2016, 39(23):179–181. PENGYaqin CHENGXiaogang An optimized deep learning algorithm of convolutional neural networks [J] Modern electronics technique 2016 39 23 179 181 Search in Google Scholar

SAXE A M, PANG W, KOH Z, et al. On random weights and unsupervised feature learning [C]// Proceeding of 2011 International Conference on Machine Learning. Bellevue: ACM, 2011:1089–1096. SAXEA M PANGW KOHZ On random weights and unsupervised feature learning [C] Proceeding of 2011 International Conference on Machine Learning Bellevue: ACM 2011 1089 1096 Search in Google Scholar

eISSN:
2470-8038
Lingua:
Inglese
Frequenza di pubblicazione:
4 volte all'anno
Argomenti della rivista:
Computer Sciences, other