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Advanced Smart City Monitoring: Real-Time Identification of Indian Citizen Attributes

arXiv 2407.03305 ↗First posted 3 Jul 2024cs.CVcited by 0

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Abstract (arXiv)

This project focuses on creating a smart surveillance system for Indian cities that can identify and analyze people's attributes in real time. Using advanced technologies like artificial intelligence and machine learning, the system can recognize attributes such as upper body color, what the person is wearing, accessories they are wearing, headgear, etc., and analyze behavior through cameras installed around the city.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 7 of its 29 references that are in the map. First posted on arXiv 3 Jul 2024.

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7 of 29 references.

References · 7

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,305
  3. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,139
  4. 2017mixup: Beyond Empirical Risk Minimizationcited by 5,183
  5. 2019CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Featurescited by 2,884
  6. 2021BEiT: BERT Pre-Training of Image Transformerscited by 2,375
  7. 2017The Effectiveness of Data Augmentation in Image Classification using Deep Learningcited by 370

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