diff --git a/frigate/test/test_video.py b/frigate/test/test_video.py
index c3e721c8c..094ef7437 100644
--- a/frigate/test/test_video.py
+++ b/frigate/test/test_video.py
@@ -81,7 +81,9 @@ class TestConfig(unittest.TestCase):
 
     def test_cluster_boundary(self):
         boxes = [(100, 100, 200, 200), (215, 215, 325, 325)]
-        boundary_boxes = [get_cluster_boundary(box) for box in boxes]
+        boundary_boxes = [
+            get_cluster_boundary(box, self.min_region_size) for box in boxes
+        ]
 
         # save_cluster_boundary_image("bound", boxes, boundary_boxes)
         assert len(boundary_boxes) == 2
@@ -117,7 +119,7 @@ class TestConfig(unittest.TestCase):
         assert len(regions) == 2
 
     def test_redundant_clusters(self):
-        boxes = [(100, 100, 200, 200), (215, 215, 325, 325)]
+        boxes = [(100, 100, 200, 200), (305, 305, 415, 415)]
 
         cluster_candidates = get_cluster_candidates(
             self.frame_shape, self.min_region_size, boxes
diff --git a/frigate/video.py b/frigate/video.py
index 294a281dc..f59e05d52 100755
--- a/frigate/video.py
+++ b/frigate/video.py
@@ -583,12 +583,12 @@ def detect(
     return detections
 
 
-def get_cluster_boundary(box):
-    # compute the max region size for the current box (box is 20% of region)
+def get_cluster_boundary(box, min_region):
+    # compute the max region size for the current box (box is 10% of region)
     box_width = box[2] - box[0]
     box_height = box[3] - box[1]
-    max_region_area = abs(box_width * box_height) / 0.2
-    max_region_size = max(160, int(math.sqrt(max_region_area)))
+    max_region_area = abs(box_width * box_height) / 0.1
+    max_region_size = max(min_region, int(math.sqrt(max_region_area)))
 
     centroid = (box_width / 2 + box[0], box_height / 2 + box[1])
 
@@ -617,7 +617,7 @@ def get_cluster_candidates(frame_shape, min_region, boxes):
             continue
         cluster = [current_index]
         used_boxes.append(current_index)
-        cluster_boundary = get_cluster_boundary(b)
+        cluster_boundary = get_cluster_boundary(b, min_region)
         # find all other boxes that fit inside the boundary
         for compare_index, compare_box in enumerate(boxes):
             if compare_index in used_boxes: