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Journal article

Structured learning of human interactions in TV shows.

Abstract:

The objective of this work is recognition and spatiotemporal localization of two-person interactions in video. Our approach is person-centric. As a first stage we track all upper bodies and heads in a video using a tracking-by-detection approach that combines detections with KLT tracking and clique partitioning, together with occlusion detection, to yield robust person tracks. We develop local descriptors of activity based on the head orientation (estimated using a set of pose-specific classi...

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Publication status:
Published

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Publisher copy:
10.1109/tpami.2012.24

Authors


Journal:
IEEE transactions on pattern analysis and machine intelligence
Volume:
34
Issue:
12
Pages:
2441-2453
Publication date:
2012-12-05
DOI:
EISSN:
1939-3539
ISSN:
0162-8828
URN:
uuid:5e9048ae-61b2-41ef-bdcf-0a34f0eba8cf
Source identifiers:
356204
Local pid:
pubs:356204

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