Graph-based matching of occluded hand gestures

Occlusion is an unavoidable subject in most machine vision areas. Recognition of partially-occluded hand gestures is an important problem. In this paper a new algorithm is proposed for the recognition of occluded and non-occluded hand gestures based on matching the Graphs of gestures in an eigenspac

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