ABSTRACT
Probabilistic models have been used in many applications of image processing and computer vision. Neural network has found its application in many image and computer vision tasks for its generalization property. The detection and classification of moving objects present in a scene is an important research area of computer vision. Multiple object tracking under varying backgrounds in real time is a very challenging research area of computer vision. Facial expression recognition is a computer vision problem of recognizing human’s emotions with the help of visual appearance of a face. Gesture recognition is a computer vision research problem, and it has many applications ranging from sign-language recognition to medical assistance to virtual reality, and many more. The primary task of vision-based interfaces is to detect and recognize gestures for human computer interactions. A vision-based approach is more natural and convenient than a glove-based approach.
