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Association #152

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Kishore-Yogaraj opened this issue Sep 24, 2024 · 0 comments
Open

Association #152

Kishore-Yogaraj opened this issue Sep 24, 2024 · 0 comments
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@Kishore-Yogaraj
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Kishore-Yogaraj commented Sep 24, 2024

Objective:
To develop a system that associates objects detected by multiple overlapping cameras, ensuring consistent 3D tracking of the same object across different camera views for autonomous driving.

Key Details:
Data Sources: Leverage multiple cameras providing different perspectives of the same scene to detect and track objects.

Goal: Correctly associate object detections from different cameras, ensuring they represent the same object in the environment and maintain consistent tracking across camera views.

Approach:

Align the 2D object detections from multiple overlapping cameras.
Use projection techniques and camera calibration data to transform detections into a common 3D coordinate system.
Implement a matching algorithm (e.g., epipolar geometry, nearest neighbor, IoU) to associate objects between the cameras.
Handle occlusions and partial views to ensure robust object tracking.
Expected Output:
A reliable 3D tracking system where object detections from overlapping cameras are consistently associated, improving the continuity and accuracy of 3D object tracking in multi-camera setups.

This should help establish proper tracking between different camera views in a multi-camera setup!

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