Recognition is one of the core pursuits of computer vision. In recognition one attempts to attach semantics to visual data such as images or video. Object recognition is an important subtopic where one builds models to recognize object categories or instances. Other subtopics include: activity recognition -- building descriptions of what people are doing from visual data, face recognition -- attaching identities to pictures or video of faces, and detection -- localizing all instances of a particular category in an image. This course will look at both historical and current methods for recognizing objects, people, actions, and scenes in images and video. Students will have a chance to define their own problems and work on solutions through a course project.