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About Video Based Fight Detection Using Deep Learning
This document presents a project that aims to develop a video-based fight detection system using deep learning. The project utilizes the Long-term Recurrent Convolutional Network (LRCN) model, which combines Convolutional Neural Networks and Recurrent Neural Networks, to analyze video footage and identify patterns associated with fighting. The system is intended to automate fight detection for surveillance cameras, sending alerts to authorities in real-time. It also includes an alarm mechanism to provide immediate alerts upon detecting a fight. The goal is to enhance public safety and security by enabling timely intervention for violent incidents.
Detailed Information
| Author: | ['abdo abdok'] |
|---|---|
| Publication Year: | 2024 |
| Pages: | 52 |
| Language: | English |
| Format: | |
| Price: | FREE |
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