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Definition
Human movement modeling is a static and dynamic human appearance representation with feature descriptors. Typical feature descriptors include local and holistic descriptors. Local descriptors mean sparse features extracted locally, i.e., local features [4] or local space-time features [6]; holistic descriptors means dense features extracted inside a human bounding region, i.e., shape/appearance descriptors [9], and motion descriptors [1, 3].
Prototype-based methods [2, 7, 13, 14] are a category of approaches representing original feature descriptors with a finite set of indices through feature quantization. Given a large number of descriptors extracted from training images or videos, a vector quantization (or data clustering) algorithm is used to divide the feature space into nonoverlapping cells where each cell is uniquely represented with an integer index. Given the quantization, each test feature can be mapped to an integer index...
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Lin, Z., Jiang, Z., Davis, L.S. (2014). Prototype-Based Methods for Human Movement Modeling. In: Ikeuchi, K. (eds) Computer Vision. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-31439-6_378
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DOI: https://doi.org/10.1007/978-0-387-31439-6_378
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