We combine information from a language model and character image pattern matching to iteratively reduce ambiguity in document images. Combining word shape information and lists of...
Abstract. We propose a new principle for recognizing fingerspelling sequences from American Sign Language (ASL). Instead of training a system to recognize the static posture for ea...
An approach to recognizing human hand gestures from a monocular temporal sequence of images is presented. Of particular concern is the representation and recognition of hand movem...
Konstantinos G. Derpanis, Richard P. Wildes, John ...
An overview of research in automated gesture spotting, tracking and recognition by the Image and Video Computing Group at Boston University is given. Approaches for localization a...
Stan Sclaroff, Margrit Betke, George Kollios, Jona...
Abstract Gestures are an important modality for human-machine communication. Computer vision modules performing gesture recognition can be important components of intelligent homes...