March 2019
Intermediate to advanced
538 pages
13h 38m
English
book
Building Computer Vision Projects with OpenCV 4 and C++
by David Millan Escriva, Prateek Joshi, Vinicius G. Mendonca, Roy Shilkrot
Content preview from Building Computer Vision Projects with OpenCV 4 and C++
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
Start your free trial
Video Surveillance, Background Modeling, and Morphological Operations
In this chapter, we are going to learn how to detect a moving object in a video taken from a static camera. This is used extensively in video surveillance systems. We will discuss the different characteristics that can be used to build this system. We will learn about background modeling and see how we can use it to build a model of the background in a live video. Once we do this, we will combine all the blocks to detect the object of interest in the video.
By the end of this chapter, you should be able to answer the following questions:
- What is naive background subtraction?
- What is frame differencing?
- How do we build a background model?
- How do we identify a new object ...