diff --git a/frigate/ptz/autotrack.py b/frigate/ptz/autotrack.py
index 70b942ee3..ee1d4715e 100644
--- a/frigate/ptz/autotrack.py
+++ b/frigate/ptz/autotrack.py
@@ -63,7 +63,9 @@ class PtzMotionEstimator:
         self.ptz_metrics["ptz_reset"].set()
         logger.debug(f"{config.name}: Motion estimator init")
 
-    def motion_estimator(self, detections, frame_name, frame_time, camera):
+    def motion_estimator(
+        self, detections, frame_name: str, frame_time: int, camera: str
+    ):
         # If we've just started up or returned to our preset, reset motion estimator for new tracking session
         if self.ptz_metrics["ptz_reset"].is_set():
             self.ptz_metrics["ptz_reset"].clear()
diff --git a/frigate/record/maintainer.py b/frigate/record/maintainer.py
index 188c1c3eb..a458f0da8 100644
--- a/frigate/record/maintainer.py
+++ b/frigate/record/maintainer.py
@@ -480,6 +480,7 @@ class RecordingMaintainer(threading.Thread):
                 if topic == DetectionTypeEnum.video:
                     (
                         camera,
+                        _,
                         frame_time,
                         current_tracked_objects,
                         motion_boxes,
diff --git a/frigate/track/norfair_tracker.py b/frigate/track/norfair_tracker.py
index 6cc94d97a..9f4ca9075 100644
--- a/frigate/track/norfair_tracker.py
+++ b/frigate/track/norfair_tracker.py
@@ -285,7 +285,9 @@ class NorfairTracker(ObjectTracker):
         ]
         self.match_and_update(frame_name, frame_time, detections=detections)
 
-    def match_and_update(self, frame_name, frame_time, detections):
+    def match_and_update(
+        self, frame_name: str, frame_time: float, detections: list[tuple]
+    ):
         norfair_detections = []
 
         for obj in detections:
diff --git a/frigate/video.py b/frigate/video.py
index 6789bb853..a2b4a9d34 100755
--- a/frigate/video.py
+++ b/frigate/video.py
@@ -591,7 +591,7 @@ def process_frames(
 
         # if detection is disabled
         if not detect_config.enabled:
-            object_tracker.match_and_update(frame_time, [])
+            object_tracker.match_and_update(frame_name, frame_time, [])
         else:
             # get stationary object ids
             # check every Nth frame for stationary objects
@@ -715,7 +715,7 @@ def process_frames(
                     if d[0] not in ALL_ATTRIBUTE_LABELS
                 ]
                 # now that we have refined our detections, we need to track objects
-                object_tracker.match_and_update(frame_time, tracked_detections)
+                object_tracker.match_and_update(frame_name, frame_time, tracked_detections)
             # else, just update the frame times for the stationary objects
             else:
                 object_tracker.update_frame_times(frame_name, frame_time)