Forked from pknowledge/basic_motion_detection_opencv_python.py
Created
February 14, 2021 13:28
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Motion Detection and Tracking Using Opencv Contours
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import cv2 | |
import numpy as np | |
cap = cv2.VideoCapture('vtest.avi') | |
frame_width = int( cap.get(cv2.CAP_PROP_FRAME_WIDTH)) | |
frame_height =int( cap.get( cv2.CAP_PROP_FRAME_HEIGHT)) | |
fourcc = cv2.VideoWriter_fourcc('X','V','I','D') | |
out = cv2.VideoWriter("output.avi", fourcc, 5.0, (1280,720)) | |
ret, frame1 = cap.read() | |
ret, frame2 = cap.read() | |
print(frame1.shape) | |
while cap.isOpened(): | |
diff = cv2.absdiff(frame1, frame2) | |
gray = cv2.cvtColor(diff, cv2.COLOR_BGR2GRAY) | |
blur = cv2.GaussianBlur(gray, (5,5), 0) | |
_, thresh = cv2.threshold(blur, 20, 255, cv2.THRESH_BINARY) | |
dilated = cv2.dilate(thresh, None, iterations=3) | |
contours, _ = cv2.findContours(dilated, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) | |
for contour in contours: | |
(x, y, w, h) = cv2.boundingRect(contour) | |
if cv2.contourArea(contour) < 900: | |
continue | |
cv2.rectangle(frame1, (x, y), (x+w, y+h), (0, 255, 0), 2) | |
cv2.putText(frame1, "Status: {}".format('Movement'), (10, 20), cv2.FONT_HERSHEY_SIMPLEX, | |
1, (0, 0, 255), 3) | |
#cv2.drawContours(frame1, contours, -1, (0, 255, 0), 2) | |
image = cv2.resize(frame1, (1280,720)) | |
out.write(image) | |
cv2.imshow("feed", frame1) | |
frame1 = frame2 | |
ret, frame2 = cap.read() | |
if cv2.waitKey(40) == 27: | |
break | |
cv2.destroyAllWindows() | |
cap.release() | |
out.release() |
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