Through the last four chapters of the series, we have focused on working with languages, speech, and images. These are the core of computer vision concepts. As we move deeper into image processing with the aim of learning about human behavior, in this chapter we will concentrate on working with Computer Vision. The idea is to replicate the human thought process based on training data (in the form of images and videos of humans) and try to segment the emotions present in this data. To perform our analysis in this chapter we will be concentrating on pre–recorded images and videos that showcase an emotion, but the same can also be implemented on a live stream of video feed for real–time analytics. As we move forward in this chapter and the next one, we will understand concepts like human cognition, sentiment analysis through facial expressions and various libraries and frameworks that help in this execution. Before we move further, let us try to understand what Computer Vision is and what roles it plays in the Artificial Intelligence universe.
AI Artificial Intelligence Computer Vision Python