Multi-Information Flow CNN and Attribute-Aided Reranking for Person Reidentification
Joint Authors
He, Dakuo
Sang, Haifeng
Wang, Chuanzheng
Liu, Qing
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-06
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This paper presents a multi-information flow convolutional neural network (MiF-CNN) model for person reidentification (re-id).
It contains several specific multilayer convolutional structures, where the input and output of a convolutional layer are concatenated together on channel dimension.
With this idea, layers of model can go deeper and feature maps can be reused by each subsequent layer.
Inspired by an image caption, a person attribute recognition network is proposed based on long-short-term memory network and attention mechanism.
By fusing identification results of MiF-CNN and attribute recognition, this paper introduces the attribute-aided reranking algorithm to improve the accuracy of person re-id further.
Experiments on VIPeR, CUHK01, and Market1501 datasets verify the proposed MiF-CNN can be trained sufficiently with small-scale datasets and obtain outstanding accuracy of person re-id.
Contrast experiments also confirm the availability of the attribute-assisted reranking algorithm.
American Psychological Association (APA)
Sang, Haifeng& Wang, Chuanzheng& He, Dakuo& Liu, Qing. 2019. Multi-Information Flow CNN and Attribute-Aided Reranking for Person Reidentification. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1129551
Modern Language Association (MLA)
Sang, Haifeng…[et al.]. Multi-Information Flow CNN and Attribute-Aided Reranking for Person Reidentification. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1129551
American Medical Association (AMA)
Sang, Haifeng& Wang, Chuanzheng& He, Dakuo& Liu, Qing. Multi-Information Flow CNN and Attribute-Aided Reranking for Person Reidentification. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1129551
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129551