Classification of hand postures against complex backgrounds using elastic graph matching
نویسندگان
چکیده
A system for person-independent classification of hand postures against complex backgrounds in video images is presented. The system employs elastic graph matching, which has already been successfully applied for object and face recognition. We use the bunch graph technique to model variance in hand posture appearance between different subjects and variance in backgrounds. Our system does not need a separate segmentation stage but closely integrates finding the object boundaries with posture classification. q 2002 Elsevier Science B.V. All rights reserved.
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A System for Person-Independent Hand Posture Recognition against Complex Backgrounds
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عنوان ژورنال:
- Image Vision Comput.
دوره 20 شماره
صفحات -
تاریخ انتشار 2002