Motion detection and tracking with Python and OpenCV

Project Title

Motion detection and tracking with Python and OpenCV

Project Area of Specialization Augmented and Virtual RealityProject Summary

In this project we are  going to show you how to find motion detection and tracking using Opencv loops.

          This  is a simple project in which we can see some people are walking around now what we want to do here is  to show these rectangles around these moving people or persons so this is tracking and when some movement occurs it show this kind of status that status is movement because somebody is moving inside the video so if nobody is moving the status will be blank and if somebody is moving then this status will be movement so this is what we are going to achieve at the end of this  we are going to try to track each and every person and also we're going to track this person with this rectangle and also we will show the status as movement when somebody moves inside the video.

Project Objectives

The main objective of this project is to we make use of Motion Detection technology in our daily life. This feature is used in CCTV Cameras to detect any kind of motion in the video frame.And

• To identify the targeted object in moving sequence
• To analyze the motion of the object in a video using OpenCV

Project Implementation Method

• Capturing Real-time video from a camera or Reading recorded video.
• Read two frames from the video source.
• Find Out the Difference between the next frame and the previous frame.
• Apply Image manipulations like Blurring, Thresholding, finding out contours, etc.
• Finding Area of Contours to detect Motion.
• Drawing Rectangle on the Motion Detected Areas.
• Showing the video in the window.

Capturing Video

Capture Video, in which you have to detect movement using OpenCV in Python.

Download the same video from the above link – Official OpenCV GitHub page.

cap = cv.VideoCapture(“./img/vtest.avi”)

Read two frames

ret, frame1 = cap.read()

ret, frame2 = cap.read()

In Order to Detect motion in a frame we also need to have the previous frame with us, so we can say there is any kind of movement in the next frame or not.

Finding the Difference between frames

diff = cv.absdiff(frame1, frame2)

absdiff() function is used to find the absolute difference between the frame1 and frame2. As the Difference can’t be negative in this case, so absolute difference is taken.

The difference between the two frames is stored in diff variable and the next process will be held on the difference frame.

Benefits of the Project

The main objective of this project is to we make use of Motion Detection technology in our daily life. This feature is used in CCTV Cameras to detect any kind of motion in the video frame.And

• To identify the targeted object in moving sequence
• To analyze the motion of the object in a video using OpenCV

Technical Details of Final Deliverable

1. Python3
2. OpenCV(libraries)
3. Pandas(libraries)

Final Deliverable of the Project Software SystemCore Industry ITOther IndustriesCore Technology Augmented & Virtual RealityOther TechnologiesSustainable Development Goals Life on LandRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	10000
DAHUA security camera	Miscellaneous	5	2000	10000