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Guerrero-Peña et al., 2017 - Google Patents

Object recognition under severe occlusions with a hidden Markov model approach

Guerrero-Peña et al., 2017

Document ID
1812324329096918057
Author
Guerrero-Peña F
Vasconcelos G
Publication year
Publication venue
Pattern Recognition Letters

External Links

Snippet

Shape classification has multiple applications. In real scenes, shapes may contain severe occlusions, hardening the identification of objects. In this paper, a method for object recognition under severe occlusion is proposed. Occlusion is dealt with separating shapes …
Continue reading at www.sciencedirect.com (other versions)

Classifications

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    • G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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