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• W2973049591 abstract "The use of gestures provides an attractive alternate to cumbersome interface devices for human-computer interaction. This has motivated a very active research area concerned with computer vision-based analysis and interpretation of hand gestures The most important issues in gesture recognition are the simplification of algorithm and the reduction of processing time. The mathematical morphology based on geometrical set theory is best used to perform the processing. The key idea of proposed algorithm is to track a trajectory of center points in primitive elements extracted by morphological shape decomposition. The trajectory of morphological center points includes the information on shape orientation. Based on this characteristic we proposed the morphological gesture sequence recognition algorithm using feature vectors calculated to the trajectory of morphological center points. Through the experiment, we demonstrated the efficiency of proposed algorithm." @default.
• W2973049591 created "2019-09-19" @default.
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• W2973049591 date "2004-12-01" @default.
• W2973049591 modified "2023-09-28" @default.
• W2973049591 title "Hand Gesture Sequence Recognition using Morphological Chain code Edge Vector" @default.
• W2973049591 hasPublicationYear "2004" @default.
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