Propose an approach for integrating multiple tasks, such as segmentation, tracking, and scene understanding, into your existing probabilistic model-based object detection system. Discuss the tradeoffs involved.

To integrate multiple tasks, consider using a multi-task learning framework that allows the model to share representations and learn jointly across different tasks. This can improve overall efficiency but may require careful tuning of hyperparameters and regularization techniques to prevent overfitting.