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Analysis and best parameters selection for person recognition based on gait model using CNN algorithm and image augmentation
Person Recognition based on Gait Model (PRGM) and motion features is are indeed a challenging and novel task due to their usages and to the critical issues of human pose variation, human body occlusion, camera view variation, etc. In this project, a deep convolution neural network (CNN) was modified...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer International Publishing
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778727/ https://www.ncbi.nlm.nih.gov/pubmed/33425651 http://dx.doi.org/10.1186/s40537-020-00387-6 |