diff --git a/ocv_track.py b/ocv_track.py
index 350f874..0c0809e 100644
--- a/ocv_track.py
+++ b/ocv_track.py
@@ -3,8 +3,8 @@ import sys
 import numpy as np
 import imutils as im
 
-IMG_SCALE_UP = 1
-SEARCH_AREA = 0
+IMG_SCALE_UP = 2
+TEMPLATE_SEARCH_AREA = 0.5
 
 (major_ver, minor_ver, subminor_ver) = cv2.__version__.split('.')
 print(cv2.__version__)
@@ -39,21 +39,21 @@ def process_image_bbox(src):
 	return gray
 
 
-def match(image_bbox, image_template, current_angle):
+def match(source, template, current_angle):
 	best_angle = 0
 	best_r = 0
 	best_maxLoc = 0
 
+	image_source = im.resize(source, IMG_SCALE_UP * source.shape[0], IMG_SCALE_UP * source.shape[1])
+
 	for dangle in np.linspace(-1.0, +1.0, 10):
 		# scale up to IMG_SCALE_UP-size
-		image_template_rotated = im.resize(image_template, IMG_SCALE_UP*w, IMG_SCALE_UP*h)
+		image_template = im.resize(template, IMG_SCALE_UP * template.shape[0], IMG_SCALE_UP * template.shape[1])
 		# rotated
-		image_template_rotated = im.rotate(image_template_rotated, current_angle + dangle)
-		# scale to original-size
-		image_template_rotated = im.resize(image_template_rotated, w, h)
+		image_template = im.rotate(image_template, current_angle + dangle)
 
 		# Perform template match operations
-		res = cv2.matchTemplate(image_bbox, image_template_rotated, cv2.TM_CCOEFF_NORMED)
+		res = cv2.matchTemplate(image_source, image_template, cv2.TM_CCOEFF_NORMED)
 		(minVal, maxVal, minLoc, maxLoc) = cv2.minMaxLoc(res)
 
 		r = maxVal
@@ -97,8 +97,7 @@ if not ok:
 
 # Uncomment the line below to select a different bounding box
 bbox = cv2.selectROI("Frame", frame, False)
-image_template = process_image_bbox(image_crop(frame, bbox, 0.5))
-w, h = image_template.shape[::-1]
+image_template = process_image_bbox(image_crop(frame, bbox, TEMPLATE_SEARCH_AREA))
 
 # Initialize tracker with first frame and bounding box
 tracker.create()
@@ -117,7 +116,7 @@ while True:
 	# Update tracker
 	ok, bbox = tracker.update(frame)
 
-	image_bbox = process_image_bbox(image_crop(frame, bbox, SEARCH_AREA))
+	image_bbox = process_image_bbox(image_crop(frame, bbox))
 	image_template_rotated = image_template
 
 	if ok: