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Erschienen in:
Visual Odometry Based Omni-directional Hyperlapse Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

Description Based Person Identification: Use of Clothes Color and Type

verfasst von : Priyansh Shah, Mehul S. Raval, Shvetal Pandya, Sanjay Chaudhary, Anand Laddha, Hiren Galiyawala

Erschienen in: Computer Vision, Pattern Recognition, Image Processing, and Graphics

Verlag: Springer Singapore

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Abstract

Surveillance videos can be searched for person identification using soft-biometrics. The proposed paper use clothes color and their type for person identification in a video. A height model and the ISCC-NBS color descriptors are used for human localization and color classification. Experimental results are demonstrated on the custom video database and compared with Gaussian mixture model based search model. It is shown that the proposed approach identifies a person correctly with high accuracy and outperforms Gaussian mixture based search model. The paper also develops a new vocabulary to describe the clothing type for a human.

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Vorheriges Kapitel Improved Low Resolution Heterogeneous Face Recognition Using Re-ranking
Nächstes Kapitel Towards Accurate Handwritten Word Recognition for Hindi and Bangla
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Metadaten
Titel
Description Based Person Identification: Use of Clothes Color and Type
verfasst von
Priyansh Shah
Mehul S. Raval
Shvetal Pandya
Sanjay Chaudhary
Anand Laddha
Hiren Galiyawala
Copyright-Jahr
2018
Verlag
Springer Singapore
Buch
Computer Vision, Pattern Recognition, Image Processing, and Graphics

Print ISBN: 978-981-13-0019-6

Electronic ISBN: 978-981-13-0020-2

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-981-13-0020-2_40