https://github.com/user-attachments/assets/1f7d1110-0b8c-44cf-ba1a-f6b1b57e279e"Analyze the provided surveillance video footage and accurately track the face of the specified individual throughout the entire duration of the video. Use facial recognition and tracking algorithms to maintain consistent identification, even in cases of partial occlusion, changes in lighting, camera angle, or motion blur. Output a bounding box around the face in each frame, along with a unique tracking ID. If the face becomes fully obscured or leaves the frame, indicate the frame number and resume tracking if the individual reappears. Prioritize accuracy and robustness over speed. Provide timestamps and confidence scores for each detection."
https://github.com/user-attachments/assets/1f7d1110-0b8c-44cf-ba1a-f6b1b57e279e"Analyze the provided surveillance video footage and accurately track the face of the specified individual throughout the entire duration of the video. Use facial recognition and tracking algorithms to maintain consistent identification, even in cases of partial occlusion, changes in lighting, camera angle, or motion blur. Output a bounding box around the face in each frame, along with a unique tracking ID. If the face becomes fully obscured or leaves the frame, indicate the frame number and resume tracking if the individual reappears. Prioritize accuracy and robustness over speed. Provide timestamps and confidence scores for each detection."