__author__ = 'dfrysing'

import cv2

import numpy

import time

cv2.namedWindow("My Window")

video = cv2.VideoCapture('P1_4.m4v')

successFlag, frame = video.read()

lastFrame = frame.copy()

h, w = frame.shape[:2]

motionHistory = numpy.zeros((h, w), numpy.float32)

while 1:

successFlag, frame = video.read()

if not successFlag:

break

frameDiff = cv2.absdiff(lastFrame, frame)

greyDiff = cv2.cvtColor(frameDiff, code=cv2.COLOR_BGR2GRAY)

retval, motionMask = cv2.threshold(greyDiff,10,1,cv2.THRESH_BINARY)

timestamp = time.clock()

cv2.updateMotionHistory(motionMask, motionHistory, timestamp, 0.5)

mg_mask, mg_orient = cv2.calcMotionGradient( motionHistory, 0.25, 0.05, apertureSize=5 )

seg_mask, seg_bounds = cv2.segmentMotion(motionHistory, timestamp, 0.25)

total = sum(sum(motionHistory))/8

print "movement: ", total

cv2.imshow("My Window", motionHistory)

cv2.waitKey(1)

lastFrame = frame.copy()