我们可以使用Python的OpenCV库来解决此问题。首先，我们需要通过使用VideoCapture函数打开摄像头并捕获视频帧。然后，我们可以使用函数cv2.absdiff（）来计算两个帧之间的差异，并使用函数cv2.threshold（）将其转换为二进制图像。最后，我们可以使用函数cv2.findContours（）识别不同的区域，并使用函数cv2.drawContours（）将它们标记为矩形框或圆圈。

以下是使用OpenCV Python在最后五个帧之间比较并突出显示不同区域的示例代码：

import cv2

cap = cv2.VideoCapture(0) #Open default camera

Read the first frame

_, first_frame = cap.read()

Convert the frame to grayscale

previous_gray = cv2.cvtColor(first_frame, cv2.COLOR_BGR2GRAY)

Create a while loop

while(True): # Capture a new frame ret, frame = cap.read()

# Convert the frame to grayscale 
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) 

# Calculate the absolute difference between current frame and previous frame
frame_diff = cv2.absdiff(previous_gray, gray)

# Threshold to remove noise
thresh = cv2.threshold(frame_diff, 25, 255, cv2.THRESH_BINARY)[1]

# Find contours for the thresholded image
contours, _ = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

# Draw rectangles around the moving objects
for contour in contours:
    (x, y, w, h) = cv2.boundingRect(contour)
    cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 0, 255), 2)

# Set current frame as previous frame
previous_gray = gray

# Display the resulting frame
cv2.imshow('