diff --git a/contrib/RealTimeHumanSeg/python/infer.py b/contrib/RealTimeHumanSeg/python/infer.py
index 280091ac8b94e40b71379c96cb1462961ca63521..8f638c1af2519b69a6513c2b1ae975adcca7c09a 100644
--- a/contrib/RealTimeHumanSeg/python/infer.py
+++ b/contrib/RealTimeHumanSeg/python/infer.py
@@ -89,7 +89,28 @@ def PredictImage(seg, image_path):
 
 # Do Predicting on a video
 def PredictVideo(seg, video_path):
-
+    cap = cv2.VideoCapture(video_path)
+    if cap.isOpened() == False:
+        print("Error opening video stream or file")
+        return
+    w  = cap.get(cv2.CAP_PROP_FRAME_WIDTH)
+    h = cap.get(cv2.CAP_PROP_FRAME_HEIGHT)
+    fps = cap.get(cv2.CAP_PROP_FPS)
+    # Result Video Writer
+    out = cv2.VideoWriter('result.avi',
+                          cv2.VideoWriter_fourcc('M','J','P','G'),
+                          fps,
+                          (int(w), int(h)))
+    # Start capturing from video
+    while(cap.isOpened()):
+        ret, frame = cap.read()
+        if ret == True:
+            im = seg.Predict(frame)
+            out.write(im);
+        else: 
+            break
+    cap.release()
+    out.release()
 
 if __name__ == "__main__":
     if len(sys.argv) < 3:
@@ -104,3 +125,4 @@ if __name__ == "__main__":
     scale = [1.0, 1.0, 1.0]
     eval_size = (192, 192)
     seg = HumanSeg(model_dir, mean, scale, eval_size, use_gpu)
+    PredictVideo(seg, input_path)