Automatic Selection of Keyframes for Activity Recognition.

التفاصيل البيبلوغرافية
العنوان: Automatic Selection of Keyframes for Activity Recognition.
المؤلفون: Nagel, Hans-Hellmut, Perales López, Francisco J., Varona, X., Gonzàlez, J., Roca, F. X., Villanueva, J. J.
المصدر: Articulated Motion & Deformable Objects; 2000, p173-181, 9p
مستخلص: Recognizing activities in image sequences is an open problem in computer vision. In this paper we present a method to extract the most significant frames from an activity sequence. We name these frames as the keyframes. Moreover, we describe a pre-processing stage in order to build a robust representation for different human movements. Using this representation, we build an activity eigenspace that is used to obtain a probability measure. We use this measure to develop a method to select the activity keyframes automatically. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Supplemental Index
الوصف
ردمك:9783540679127
DOI:10.1007/10722604_15