text: Title: locking on to a single person in a multi-person frame
  Body: ### Search before asking
  
  - [x] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/orgs/ultralytics/discussions) and found no similar questions.
  
  
  ### Question
  
  Hi, I am using yolo11-pose to assess power lifts (squats) against standards and decide whether or not the lift passes or fails based on keypoints in the critical frame. 
  
  In dummy videos with only one person (the lifter) in the frame, the model and application perform perfectly.
  
  However the application is intended for competition, and in competition, while there is only one lifter on the platform at a time, there are multiple other people (spotters) visible in the frame. This creates undesirable model behavior.
  
  The desired behavior is that the model should only focus on the lifter and assess the quality of his lift. While the result derived is correct, the skeleton overlay is unstable: some times it correctly overlays the skeleton on the lifter, at other times during the lift the skeleton may be temporarily overlaid against a spotter or other person in frame. This is a problem. I have attached images to illustrate.
  
  I have tried to overcome this by specifying the lifters person id number:
  
  ```
      results = model.track(
          source=video_file,
          device=device,
          show=False,
          # conf=0.7,
          save=True,
          max_det=1
      )
  ```
  
  I have also tried to exclude ids which are erroneously annotated, reduce the ROI, experimented with increasing euclidean distance, and confidence weights. 
  
  ```
  lifter_selector:
    expected_center: [0.5, 0.5]
    roi: [0.3, 0.3, 0.7, 0.7]
    distance_weight: 2.0
    confidence_weight: 0.8
    lifter_id: 4
    excluded_ids: [1, 7, 10]
  ```
  
  I am having no success, and i hope that someone can help me to find a way to "fix" the bounding box and skeleton overlay to the lifter and prevent those annotations on non-litfters on the platform.
  
  thank you
  
  correct
  ![Image](https://github.com/user-attachments/assets/04b80fcd-6e47-435a-9c62-77ee73f0ec39)
  
  incorrect
  ![Image](https://github.com/user-attachments/assets/13f1f6b5-0e82-42e2-88bb-cd9a69c14898)
  
  incorrect
  ![Image](https://github.com/user-attachments/assets/eed88dd6-07df-4fb1-a926-db885b18d9bb)
  
  ### Additional
  
  Please let me know if you'd like me to share the code via GitHub repo. I am happy to do so. I am really hoping you can help me and i thank you in advance. Please let me know if my explanation is not clear or if you require more information.