Open Access

Computer vision recognition and tracking algorithm based on convolutional neural network

 and    | Dec 23, 2022


Guo M, Yu Z, Xu Y, et al. ME-Net: A Deep Convolutional Neural Network for Extracting Mangrove Using Sentinel-2A Data[J]. Remote Sensing, 2021, 13(7):1-24. Search in Google Scholar

Ribeiro T, Mascarenhas S M, Afonso J, et al. P113 Automatic detection of colonic ulcers and erosions in colon capsule endoscopy images using a convolutional neural network[J]. Journal of Crohn’s and Colitis, 2021(Supplement_1):Supplement_1. Search in Google Scholar

Pardoe H R, Martin S P, Zhao Y, et al. Estimation of in-scanner head pose changes during structural MRI using a convolutional neural network trained on eye tracker video[J]. Magnetic Resonance Imaging, 2021. Search in Google Scholar

Oyelade O N, Ezugwu A E. A novel wavelet decomposition and transformation convolutional neural network with data augmentation for breast cancer detection using digital mammogram[J]. Scientific Reports, 2022. Search in Google Scholar

Wang C, Zhou J, Xiao B, et al. Uncertainty Estimation for Stereo Matching Based on Evidential Deep Learning. Pattern Recognition, 2021. Search in Google Scholar

J. Miao, Z Wang, X. Ning, X. Nan, W. Cai, R. Liu. Practical and Secure Multifactor Authentication Protocol for Autonomous Vehicles in 5G. Software:Practice and Experience, 2022. Search in Google Scholar

X. Ning, K. Gong, W. Li, and L. Zhang, “JWSAA: Joint Weak Saliency and Attention Aware for person re-identification,” Neurocomputing, 2021, vol. 453, pp. 801-811. Search in Google Scholar

C. Yan, G. Pang, X. Bai, et al., Beyond triplet loss: person re-identification with finegrained difference-aware pairwise loss, IEEE Trans. Multimedia (2021), Search in Google Scholar

W Cai, B Zhai, Y Liu, et al., Quadratic polynomial guided fuzzy C-means and dual attention mechanism for medical image segmentation. Displays, vol. 70, no. 102106, 2021. Search in Google Scholar

X. Ning, P. Duan, W. Li, and S. Zhang, “Real-time 3D face alignment using an encoder-decoder network with an efficient deconvolution layer,” IEEE Signal Processing Letters, vol. 27, pp. 1944–1948, 2020. Search in Google Scholar

Bai X, Zhou J, Ning X, et al. 3D data computation and visualization[J]. Displays, 2022: 102169. Search in Google Scholar

S. Qi, X. Ning, G. Yang, et al., Review of Multi-view 3D Object Recognition Methods Based on Deep Learning, Displays 69 (1) (2021), Search in Google Scholar

W. Cai, D. Liu, X. Ning, et al., Voxel-based Three-view Hybrid Parallel Network for 3D Object Classification, Displays 69 (1) (2021), Search in Google Scholar

Bai X, Wang X, Liu X, et al. Explainable Deep Learning for Efficient and Robust Pattern Recognition: A Survey of Recent Developments. Pattern Recognition, 2021: 108102 Search in Google Scholar

Wang M, Sun T, Song K, et al. An efficient sparse pruning method for human pose estimation. Connection Science, 2021: 1-15. Search in Google Scholar

Zaiyang Yu, Shuang Li, Linjun Sun, Liang Liu & Wang Haining (2022): Multidistribution noise quantisation: an extreme compression scheme for transformer according to parameter distribution, Connection Science, DOI: 10.1080/09540091.2021.2024510 Search in Google Scholar

Shan W. Digital streaming media distribution and transmission process optimisation based on adaptive recurrent neural network[J]. Connection Science, 2022, 34(1): 1169-1180. Search in Google Scholar

Ying L, Qian Nan Z, Fu Ping W, et al. Adaptive weights learning in CNN feature fusion for crime scene investigation image classification[J]. Connection Science, 2021, 33(3): 719-734. Search in Google Scholar

Wang J, Wang R, Yang M, et al. Understanding zinc-doped hydroxyapatite structures using first-principles calculations and convolutional neural network algorithm[J]. Journal of Materials Chemistry B, 2022, 10. Search in Google Scholar

Bilal E. Heart sounds classification using convolutional neural network with 1D-local binary pattern and 1D-local ternary pattern features[J]. Applied Acoustics, 2021, 180:108152. Search in Google Scholar

Song T. Multi-Classification of Complex Microseismic Waveforms Using Convolutional Neural Network: A Case Study in Tunnel Engineering[J]. Sensors, 2021, 21. Search in Google Scholar

Publication timeframe:
Volume Open
Journal Subjects:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics