Annotation The recognition of humans and their activities from video sequences is a very important and active area of research because of direct applications in video surveillance, design of realistic entertainment systems, multimedia communications, and medical diagnosis. In this lecture, the authors discuss the use of face and gait signatures for human identification and recognition of human activities from video sequences. Face Recognition?methods for image-based analysis.?developments related to the use of video sequences, 3D models, and techniques for representing variations of illumination.?challenges of recognition strategies that are robust to changes due to pose, illumination, disguise, and aging. Gait Recognition?techniques to automatically extract the parameters for representation of human gait, most of which are appearance based.?challenges involved in dealing with changes in viewpoint.?methods based on image synthesis, visual hull, and 3D models. Human Activity Recognition?methods that have been developed in different disciplines like artificial intelligence, image processing, pattern recognition, and computer vision.? complex activities using 2D and 3D deformable shape theory.
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