diff --git a/.vscode/launch.json b/.vscode/launch.json
new file mode 100644
index 0000000..f636bac
--- /dev/null
+++ b/.vscode/launch.json
@@ -0,0 +1,15 @@
+{
+    // Use IntelliSense to learn about possible attributes.
+    // Hover to view descriptions of existing attributes.
+    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
+    "version": "0.2.0",
+    "configurations": [
+        {
+            "name": "Python: Aktuelle Datei",
+            "type": "python",
+            "request": "launch",
+            "program": "${file}",
+            "console": "integratedTerminal"
+        }
+    ]
+}
\ No newline at end of file
diff --git a/ContourExctractor.py b/ContourExctractor.py
index 8f8398f..fd0edbf 100644
--- a/ContourExctractor.py
+++ b/ContourExctractor.py
@@ -1,3 +1,90 @@
+from imutils.video import VideoStream
+import argparse
+import datetime
+import imutils
+import time
+import cv2
+import os
+import numpy as np
+import traceback
+import _thread
+
 class ContourExtractor:
-    def __init__(self):
-        print("ContourExtractror initiated")
\ No newline at end of file
+
+    #X = {frame_number: contours, }
+    extractedContours = dict()
+
+    def __init__(self, videoPath):
+        print("ContourExtractror initiated")
+        print(videoPath)
+
+        min_area = 100
+        max_area = 30000
+
+        threashold = 10
+
+        # initialize the first frame in the video stream
+        vs = cv2.VideoCapture(videoPath)
+
+        res = vs.read()[0]
+        firstFrame = None
+        # loop over the frames of the video
+        frameCount = 0
+        while res:
+
+            res, frame = vs.read()
+
+            # resize the frame, convert it to grayscale, and blur it
+            if frame is None:
+                return
+            #frame = imutils.resize(frame, width=500)
+            cv2.imshow( "frame", frame )  
+            gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+            gray = cv2.GaussianBlur(gray, (31, 31), 0)
+
+            # if the first frame is None, initialize it
+            if firstFrame is None:
+                firstFrame = gray
+                continue
+
+            frameDelta = cv2.absdiff(gray, firstFrame)
+
+            thresh = cv2.threshold(frameDelta, threashold, 255, cv2.THRESH_BINARY)[1]
+
+
+            # dilate the thresholded image to fill in holes, then find contours
+            thresh = cv2.dilate(thresh, None, iterations=3)
+            cnts = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
+            cnts = imutils.grab_contours(cnts)
+
+            # loop over the contours
+            for c in cnts:
+                if cv2.contourArea(c) < min_area or cv2.contourArea(c) > max_area:
+                    continue
+
+                (x, y, w, h) = cv2.boundingRect(c)
+                cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
+                text = "Occupied"
+
+            self.extractedContours[frameCount] = cnts
+            frameCount += 1
+
+            #cv2.imshow( "annotated", frame )  
+
+            #cv2.waitKey(10) & 0XFF
+    
+    def displayContours(self):
+        
+        values = self.extractedContours.values()
+        frame = np.zeros(shape=[1080, 1920, 3], dtype=np.uint8)
+        #frame = imutils.resize(frame, width=500)
+
+        for x in values:
+            for v in x:
+                (x, y, w, h) = cv2.boundingRect(v)
+                cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
+
+        cv2.imshow("changes overlayed", frame)
+        cv2.waitKey(0)
+        cv2.destroyAllWindows()
+
diff --git a/__pycache__/ContourExctractor.cpython-37.pyc b/__pycache__/ContourExctractor.cpython-37.pyc
new file mode 100644
index 0000000..eea2bae
Binary files /dev/null and b/__pycache__/ContourExctractor.cpython-37.pyc differ
diff --git a/generate test footage/gen.py b/generate test footage/gen.py
index 830498a..a2b924d 100644
--- a/generate test footage/gen.py	
+++ b/generate test footage/gen.py	
@@ -14,7 +14,7 @@ fps = 30
 xmax = 1920
 ymax = 1080
 # in minutes
-length = .1
+length = 1
 numberOfEvents = 3
 dirname = os.path.dirname(__file__)
 
@@ -26,6 +26,8 @@ outputPath = os.path.join(dirname, 'out.mp4')
 def genImages():
     counter = 0
     writer = imageio.get_writer(outputPath, fps=fps)
+    writer.append_data(np.zeros(shape=[1080, 1920, 3], dtype=np.uint8))
+    writer.append_data(np.zeros(shape=[1080, 1920, 3], dtype=np.uint8))
     for i in range(numberOfEvents):
 
         objectWidth = (5 + random.randint(0, 5)) * xmax / 100 
diff --git a/generate test footage/out.mp4 b/generate test footage/out.mp4
index 201825b..992380d 100644
Binary files a/generate test footage/out.mp4 and b/generate test footage/out.mp4 differ
diff --git a/main.py b/main.py
index 7d8eee5..a1206a8 100644
--- a/main.py
+++ b/main.py
@@ -1,7 +1,23 @@
+import os
+import time
+from ContourExctractor import ContourExtractor
+
+#TODO
+#   finden von relevanten Stellen anhand von zu findenen metriken
 
 def init():
     print("startup")
+    footagePath = os.path.join(os.path.dirname(__file__), "./generate test footage/out.mp4")
+
+    start = time.time()
+    contourExtractor = ContourExtractor(footagePath)
+    print("Time consumed in working: ",time.time() - start)
+
+    contourExtractor.displayContours()
+
 
 
 if __name__ == "__main__":
-    init()
\ No newline at end of file
+    init()
+
+