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About Multiple Object Tracking Using Deep Learning With Yolo v5 IJERTCONV9IS13010
This document describes a proposed system for multiple object tracking (MOT) using YOLO V5 with deep learning. The system uses YOLO V5 for object detection on video frames. Detected objects are labeled with bounding boxes. OpenCV is used to input video and track detected objects across frames. The system allows a user to select a model to detect specific objects. It could be used for applications like counting objects or surveillance.
Detailed Information
| Author: | ['Ed swert'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 5 |
| Language: | English |
| Format: | |
| Price: | FREE |
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