Real-time object tracking

• This project aims to detect moving objects in a video and keep track of them.
• YOLOv8 is used to detect and localize each object in each frame.
• The DeepSort library from nwojke is used and modified to fit with the project and Tensorflow 2.X.

In this project:

• Objects' detections are obtained using Yolov8
• Non-max suppression is applied to the detections obtained from the YOLOv8 model in order to eliminate the overlapping bounding boxes using intersection over union
• The tracker is updated with the output of the non-max suppression
• Finally, a new video is produced using the updated tracks.

Get Started

1. Clone this repository

git clone https://github.com/toqaalaa20/Real-time-object-tracking

2. Install the requirements

pip install requirements.txt

3. Input your source video

• For an input video:

python main.py --input "path to your video"

• For using your camera:

python main.py --input camera

Results:

Test_video.mp4