import cv2


class KCFTracker:
    def __init__(self, detector, pose_estimator):
        self.bbox = None  # Bounding box of the selected person
        self.tracker = None  # Tracker object
        self.initialized = False  # Whether the tracker has been initialized
        self.detector = detector  # Detector object
        self.pose_estimator = pose_estimator  # Pose estimator object

    def process_frame(self, frame):
        pass


# Example of how to use the PoseTracker class
# This would be part of your main application loop
# cap = cv2.VideoCapture('path_to_video')
# pose_tracker = PoseTracker()
# while True:
#     ret, frame = cap.read()
#     if not ret:
#         break
#     keypoints = pose_tracker.process_frame(frame)
#     # Use keypoints for further processing or visualization
# cap.release()
