Accurate Recognition of Large Number of Hand Gestures

A hierarchical gesture recognition algorithm is introduced to recognise a large number of gestures. Three stages of the proposed algorithm are based on a new hand tracking technique to recognise the actual beginning of a gesture using a Kalman filtering process, hidden Markov models and graph matching. Processing time is important in working with large databases. Therefore, special cares are taken to deal with the large number of gestures, which are partially similar

کلیدواژه ها:

HMM ، PCA ، Graph Matching ، Kalman Filter ، Tracking