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Edge Detection-Based Feature Extraction for the Systems of Activity Recognition
Human activity recognition (HAR) is a fascinating and significant challenging task. Generally, the accuracy of HAR systems relies on the best features from the input frames. Mostly, the activity frames have the hostile noisy conditions that cannot be handled by most of the existing edge operators. I...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8820868/ https://www.ncbi.nlm.nih.gov/pubmed/35140779 http://dx.doi.org/10.1155/2022/8222388 |