Chapter 13. Object Detection and Tracking
In this chapter, we are going to learn about object detection and tracking. We will start by installing OpenCV, a very popular library for computer vision. We will discuss frame differencing to see how we can detect the moving parts in a video. We will learn how to track objects using color spaces. We will understand how to use background subtraction to track objects. We will build an interactive object tracker using the CAMShift algorithm. We will learn how to build an optical flow based tracker. We will discuss face detection and associated concepts such as Haar cascades and integral images. We will then use this technique to build an eye detector and tracker.
By the end of this chapter, you will know about:
- Installing OpenCV
- Frame differencing
- Tracking objects using colorspaces
- Object tracking using background subtraction
- Building an interactive object tracker using the CAMShift algorithm
- Optical flow based tracking
- Face detection and...
