Crowd Multi Prediction: Single Network for Crowd Counting, Localization and Anomaly Detection

2023-01-01
Coskun, Muhammet Furkan
Akar, Gözde
In this study, we propose a neural network to solve crowd counting, localization and abnormal event detection problems together. Our proposed model combines P2P-Net with a novel crowd anomaly detection module. The final network has a single backbone and multiple head structure. Synthetic datasets are used for training and evaluation. Results show that our model gets high accuracy in crowd anomaly detection task.
2023 IEEE International Conference on Consumer Electronics, ICCE 2023

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Citation Formats
M. F. Coskun and G. Akar, “Crowd Multi Prediction: Single Network for Crowd Counting, Localization and Anomaly Detection,” Nevada, Amerika Birleşik Devletleri, 2023, vol. 2023-January, Accessed: 00, 2023. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85149142426&origin=inward.