The last chapter described basic computer vision operations using OpenCV and CUDA. In this chapter, we will see how to use these basic operations along with OpenCV and CUDA to develop complex computer vision applications. We will use the example of object detection and tracking to demonstrate this concept. Object detection and tracking is a very active area of research in computer vision. It deals with identifying the location of an object in an image and tracking it in a sequence of frames. Many algorithms are proposed for this task based on color, shape, and the other salient features of an image. In this chapter, these algorithms are implemented using OpenCV and CUDA. We start with an explanation of detecting an object based on color, then describe the methods to detect an object with a particular shape. All objects have salient...
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