Acquiring Robust Representations for Recognition from Image Sequences
Conference paper
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Abstract
We present an object recognition system which is capable of on-line learning of representations of scenes and objects from natural image sequences. Local appearance features are used in a tracking framework to find ‘key-frames’ of the input sequence during learning. In addition, the same basic framework is used for both learning and recognition. The system creates sparse representations and shows good recognition performance in a variety of viewing conditions for a database of natural image sequences.
Keywords
object recognition model acquisition appearance-based learningPreview
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© Springer-Verlag Berlin Heidelberg 2001