towards automated large vocabulary gesture search
This paper describes work towards designing a computer vision system for helping users look up the meaning of a sign. Sign lookup is treated as a video database retrieval problem. A video database is utilized that contains one or more video examples for each sign, for a large number of signs (close to 1000 in our current experiments). The emphasis of this paper is on evaluating the trade-offs between a non-automated approach, where the user manually specifies hand locations in the input video, and a fully automated approach, where hand locations are determined using a computer vision module, thus introducing inaccuracies into the sign retrieval process. We experimentally evaluate both approaches and present their respective advantages and disadvantages.
asl recognition american sign language recognition video indexing gesture recognition