Dynamic and static hand gesture recognition through low-level image analysis

摘要: A low-level model-free dynamic and static hand gesture recognition system utilizes either a 1-D histogram of frequency occurrence vs. spatial orientation angle for gestures or 2-D space-time gestures. In each case the constitutes signature which is used recognition. For moving detection, 3-D map merged converted into graphs both movement. It against this representation template that an incoming matched.