Multi-Object Tracking Example

Introduction

Multi-Object Tracking (MOT) technology is used to simultaneously identify and track multiple targets within video sequences, involving the association of targets across different frames.

Usage

X-AnyLabeling is enhanced with a versatile tracking system capable of handling multiple tasks: - Object Detection

• Oriented Bounding Boxes Object Detection
• Instance Segmentation
• Pose Estimation

It incorporates advanced tracking algorithms such as ByteTrack and Bot-Sort to ensure robust and accurate tracking across these diverse tasks.

Here's how to perform multi-object tracking using the tool:

1. Load the video file, e.g., Bangkok.mp4. (Note: The file path must not contain Chinese characters!)
2. Load the tracking model, such as yolov8n_obb_botsort, yolov8s_det_botsort, yolov8m_seg_bytetrack, yolov8x_pose_p6_botsort or a custom model.
3. Click to run, and after verifying that everything is correct, you can use the shortcut Ctrl+M to run all frames at once.

In this process, the group_id field represents the track_id of the current target box.

Warning

If object confidence score will be low, i.e lower than track_high_thresh, then there will be no tracks successfully returned and updated.

Tip

You can open the Group ID Manager with Alt+G to modify the group_id. :)

Export

For instructions on exporting MOT annotations, please consult the user guide available:

• English version
• Chinese version