--- a/python/moving.py	Fri May 05 00:07:33 2017 -0400
+++ b/python/moving.py	Tue May 30 16:10:18 2017 -0400
@@ -1577,7 +1577,7 @@
         
         self.userTypes = {}
 
-    def classifyUserTypeHoGSVMAtInstant(self, img, instant, homography, width, height, px, py, minNPixels, rescaleSize, orientations, pixelsPerCell, cellsPerBlock):
+    def classifyUserTypeHoGSVMAtInstant(self, img, instant, homography, width, height, px, py, minNPixels, rescaleSize, orientations, pixelsPerCell, cellsPerBlock, blockNorm):
         '''Extracts the image box around the object
         (of square size max(width, height) of the box around the features, 
         with an added px or py for width and height (around the box))
@@ -1585,7 +1585,7 @@
         and applies the SVM model on it'''
         croppedImg, yCropMin, yCropMax, xCropMin, xCropMax = cvutils.imageBox(img, self, instant, homography, width, height, px, py, minNPixels)
         if croppedImg is not None and len(croppedImg) > 0:
-            hog = cvutils.HOG(croppedImg, rescaleSize, orientations, pixelsPerCell, cellsPerBlock, visualize=False, normalize=False)
+            hog = cvutils.HOG(croppedImg, rescaleSize, orientations, pixelsPerCell, cellsPerBlock, blockNorm, visualize=False, normalize=False)
             self.userTypes[instant] = int(self.appearanceClassifier.predict(hog))
         else:
             self.userTypes[instant] = userType2Num['unknown']