Update README.md

README.md

@@ -79,4 +79,12 @@ As a baseline proof-of-concept, this system has several known limitations:
 
 * **Occlusion:** The SORT tracker's performance can degrade when objects are heavily occluded (i.e., hidden behind one another). This can sometimes lead to ID switches. More advanced trackers like DeepSORT or ByteTrack could be used to mitigate this.
 * **Confidence Threshold:** The number of objects detected and subsequently tracked is highly sensitive to the `threshold` parameter set during detection. A low threshold may increase false positives, while a high one may miss valid objects.
-* **Domain Specificity:** The underlying DETR model was trained on the COCO dataset. Its performance may vary on videos with different lighting conditions, camera angles, or object types not well-represented in COCO.
+* **Domain Specificity:** The underlying DETR model was trained on the COCO dataset. Its performance may vary on videos with different lighting conditions, camera angles, or object types not well-represented in COCO.
+
+## 🙏 Acknowledgements and Credits
+
+This project was made possible by leveraging several key resources:
+
+-   **Detector Model:** [**facebook/detr-resnet-50**](https://huggingface.co/facebook/detr-resnet-50) by Meta AI.
+-   **Tracking Algorithm:** The original implementation of [**SORT**](https://github.com/abewley/sort) by Alex Bewley.
+-   **Sample Video:** Provided by [**George Morina on Pexels**](https://www.pexels.com/video/riding-a-double-decker-bus-5402016/).