GAIT RECOGNITION BASED ON CONVOLUTIONAL NEURAL NETWORKS

14 citations as recorded by crossref.

1. Exploring Deep Learning Methods for Computer Vision Applications across Multiple Sectors: Challenges and Future Trends N. Ganesh et al.
2. RETRACTED: Stacked-gait: A human gait recognition scheme based on stacked autoencoders A. Mehmood et al.
3. Intra-class variations with deep learning-based gait analysis: A comprehensive survey of covariates and methods A. Parashar et al.
4. Protection of gait data set for preserving its privacy in deep learning pipeline A. Parashar & R. Shekhawat
5. Automatic multi-gait recognition using pedestrian’s spatiotemporal features M. Khan et al.
6. Pose‐based deep gait recognition A. Sokolova & A. Konushin
7. Methods of Gait Recognition in Video A. Sokolova & A. Konushin
8. A Survey on Gait Recognition C. Wan et al.
9. Deep learning pipelines for recognition of gait biometrics with covariates: a comprehensive review A. Parashar et al.
10. RETRACTED ARTICLE: Multimodal Biometric for Person Identification Using Deep Learning Approach A. Sharma et al.
11. Gait-Based Human Identification by Combining Shallow Convolutional Neural Network-Stacked Long Short-Term Memory and Deep Convolutional Neural Network G. Batchuluun et al.
12. Classification of Subjects With Balance Disorders Using 1D-CNN and Inertial Sensors J. Napieralski et al.
13. Identification of a Person by Gait in a Video Stream M. Uzdiaev et al.
14. View-invariant gait recognition method by three-dimensional convolutional neural network W. Xing et al.