feat: migrate from face detection to HOG person detection

camera.py

@@ -6,7 +6,7 @@ Integrates face detection and zone tracking.
 import cv2
 import threading
 import time
-from face_detector import FaceDetector
+from person_detector import PersonDetector
 from zone_tracker import ZoneTracker
 
 
@@ -18,8 +18,8 @@ class Camera:
         
         Args:
             camera_index: Index of the USB camera (usually 0)
-            process_every_n_frames: Process face detection every N frames for performance
-            face_confidence: Confidence threshold for face detection
+            process_every_n_frames: Process detection every N frames for performance
+            face_confidence: Confidence threshold for person detection
             frame_width: Desired frame width
             frame_height: Desired frame height
         """
@@ -37,8 +37,8 @@ class Camera:
         self.cap.set(cv2.CAP_PROP_FRAME_WIDTH, frame_width)
         self.cap.set(cv2.CAP_PROP_FRAME_HEIGHT, frame_height)
         
-        # Initialize face detector and zone tracker
-        self.face_detector = FaceDetector(confidence_threshold=face_confidence)
+        # Initialize person detector and zone tracker
+        self.person_detector = PersonDetector(confidence_threshold=face_confidence)
         self.zone_tracker = None  # Will be initialized after first frame
         
         # Frame processing state
@@ -95,7 +95,7 @@ class Camera:
             with self.lock:
                 self.current_frame = frame.copy()
             
-            # Process face detection every N frames
+            # Process detection every N frames
             if self.frame_counter % self.process_every_n_frames == 0:
                 processed_frame, counts = self._process_frame(frame)
                 with self.lock:
@@ -104,7 +104,7 @@ class Camera:
     
     def _process_frame(self, frame):
         """
-        Process a single frame: detect faces, track zones, update counts.
+        Process a single frame: detect people, track zones, update counts.
         
         Args:
             frame: Input frame from camera
@@ -112,12 +112,12 @@ class Camera:
         Returns:
             Tuple of (processed_frame, counts_dict)
         """
-        # Detect faces
-        faces = self.face_detector.detect_faces(frame)
+        # Detect people
+        people = self.person_detector.detect_people(frame)
         
         # Track zones and update counts
         if self.zone_tracker:
-            counts = self.zone_tracker.process_faces(faces)
+            counts = self.zone_tracker.process_faces(people)
         else:
             counts = {
                 'total_entered': 0,
@@ -131,8 +131,8 @@ class Camera:
         else:
             processed_frame = frame.copy()
         
-        # Draw faces on frame
-        processed_frame = self.face_detector.draw_faces(processed_frame, faces)
+        # Draw people on frame
+        processed_frame = self.person_detector.draw_people(processed_frame, people)
         
         # Draw count information on frame
         text_y = 60