Body part classification is an important precondition and crucial step in human pose tracking. Although the random forest classical method with gradient feature of depth can get the request of real time,it remains the weakness of low accuracy,not robust enough to the noise and huge memory consumption. This paper proposes a new classification method,which combines the classical depth feature with RGB edge feature,and introduces the random jungle model to solve the increased dimension of the feature. Experime...
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