Real time blood detection in CCTV surveillance using attention enhanced InceptionV3
Abstract Accurate detection of blood in CCTV surveillance footage is critical for timely response to medical emergencies, violent incidents, and public safety threats. This study proposes a real-time deep learning framework that combines the InceptionV3 architecture with Convolutional Block Attentio...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-14941-w |
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