BasicMotionDetector.py

# import the necessary packages
import imutils
import cv2

class BasicMotionDetector:
	def __init__(self, accumWeight=0.5, deltaThresh=5, minArea=5000):
		# determine the OpenCV version, followed by storing the
		# the frame accumulation weight, the fixed threshold for
		# the delta image, and finally the minimum area required
		# for "motion" to be reported
		self.isv2 = imutils.is_cv2()
		self.accumWeight = accumWeight
		self.deltaThresh = deltaThresh
		self.minArea = minArea

		# initialize the average image for motion detection
		self.avg = None
		# import the necessary packages
import imutils
import cv2

class BasicMotionDetector:
	def __init__(self, accumWeight=0.5, deltaThresh=5, minArea=5000):
		# determine the OpenCV version, followed by storing the
		# the frame accumulation weight, the fixed threshold for
		# the delta image, and finally the minimum area required
		# for "motion" to be reported
		self.isv2 = imutils.is_cv2()
		self.accumWeight = accumWeight
		self.deltaThresh = deltaThresh
		self.minArea = minArea

		# initialize the average image for motion detection
		self.avg = None

	def update(self, image):
		# initialize the list of locations containing motion
		locs = []

		# if the average image is None, initialize it
		if self.avg is None:
			self.avg = image.astype("float")
			return locs

		# otherwise, accumulate the weighted average between
		# the current frame and the previous frames, then compute
		# the pixel-wise differences between the current frame
		# and running average
		cv2.accumulateWeighted(image, self.avg, self.accumWeight)
		frameDelta = cv2.absdiff(image, cv2.convertScaleAbs(self.avg)