Research Article
Multi-Information Flow CNN and Attribute-Aided Reranking for Person Reidentification
Algorithm 1
The attribute-aided reranking algorithm.
| | Input: Initial rank list R0 | | | Output: The reranking rank list | | (1) | for i = 1, 2, …, M do | | (2) | if rank 1 correct | | (3) | | | (4) | end if | | (5) | elif rank 5 correct | | (6) | Distributing initial feature score for top-5 gallery according to their ranking in | | (7) | Distributing attribute score for according to the number of their attributes that are the same as | | (8) | | | (9) | Reranking in descending order of their total score and obtain | | (10) | end if | | (11) | elif rank 10 correct | | (12) | Changing to , repeat 6–10 | | (13) | end if | | (14) | else | | (15) | Changing to , repeat 6–10 | | (16) | end if | | (17) | end for |
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