Sparse representations based distributed attribute learning for person re-identification
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DOI: 10.1007/s11042-017-4967-4
Abstract: Searching for specific persons from surveillance videos captured by different cameras, known as person re-identification, is a key yet under-addressed challenge. Difficulties arise from the large variations of human appearance in different poses, and from… read more here.
Keywords: attribute learning; distributed attribute; person identification; sparse representations ... See more keywords