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- Vol. 6 Issue 6
- Article
AI-Based Customer Behavior Monitoring and Suspicious Activity Detection in Retail Environments
Authors
1 Associate professor, Department of Computer Science and Business Systems, Bapuji Institute of Engineering and Technology, Davangere, Karnataka, India. 2 3 4 5 Department of Computer Science and Business Systems, Bapuji Institute of Engineering and Technology, Davangere, Karnataka, India.
Article Information
- Published In
- Volume 6, Issue 6 (2026)
- Published Online
- November-December 2026
- Pages
- 153-164
- Article Type
- Original Article
References
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of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, pp. 779–788.
2. N. Wojke, A. Bewley, and D. Paulus, “Simple Online and Realtime Tracking with a Deep Association Metric,” in Proceedings of
the IEEE International Conference on Image Processing (ICIP), 2017, pp. 3645–3649.
3. Y. Zhang, P. Sun, Y. Jiang, et al., “ByteTrack: Multi-Object Tracking by Associating Every Detection Box,” in Proceedings of the
European Conference on Computer Vision (ECCV), 2022.
4. C. Lugaresi, J. Tang, H. Nash, et al., “MediaPipe: A Framework for Building Perception Pipelines,” arXiv:1906.08172, 2019.
5. S. Yan, Y. Xiong, and D. Lin, “Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition,” in
Proceedings of the AAAI Conference on Artificial Intelligence, 2018.
6. C. Feichtenhofer, H. Fan, J. Malik, and K. He, “SlowFast Networks for Video Recognition,” in Proceedings of the IEEE/CVF
International Conference on Computer Vision (ICCV), 2019.
7. Ultralytics, “Ultralytics YOLO Documentation and Software Repository.” Available: https://github.com/ultralytics/ultralytics.
8. G. Bradski, “The OpenCV Library,” Dr. Dobb’s Journal of Software Tools, 2000.
9. PyTorch Team, “PyTorch: An Open Source Machine Learning Framework.” Available: https://pytorch.org/.
10. Pallets Projects, “Flask Documentation.” Available: https://flask.palletsprojects.com/.
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