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Matching People across Camera Views using Kernel Canonical Correlation Analysis

Authors:

Giuseppe Lisanti,

Alberto Del BimboAuthors Info & Claims

ICDSC '14: Proceedings of the International Conference on Distributed Smart Cameras

Article No.: 10, Pages 1 - 6

https://doi.org/10.1145/2659021.2659036

Published: 04 November 2014 Publication History

Abstract

Matching people across views is still an open problem in computer vision and in video surveillance systems. In this paper we address the problem of person re-identification across disjoint cameras by proposing an efficient but robust kernel descriptor to encode the appearance of a person. The matching is then improved by applying a learning technique based on Kernel Canonical Correlation Analysis (KCCA) which finds a common subspace between the proposed descriptors extracted from disjoint cameras, projecting them into a new description space. This common description space is then used to identify a person from one camera to another with a standard nearest-neighbor voting method. We evaluate our approach on two publicly available datasets for re-identification (VIPeR and PRID), demonstrating that our method yields state-of-the-art performance with respect to recent techniques proposed for the re-identification task.

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Cited By

Chung WPolani DTiomkin S(2024)Dimensionality Reduction of Dynamics on Lie Groups via Structure-Aware Canonical Correlation Analysis2024 American Control Conference (ACC)10.23919/ACC60939.2024.10644415(439-446)Online publication date: 10-Jul-2024
https://doi.org/10.23919/ACC60939.2024.10644415
Yu SYang QWang JWu C(2024)FedUSL: A Federated Annotation Method for Driving Fatigue Detection based on Multimodal Sensing DataACM Transactions on Sensor Networks10.1145/3657291Online publication date: 10-Apr-2024
https://dl.acm.org/doi/10.1145/3657291
Russel NSelvaraj A(2024)Ownership of abandoned object detection by integrating carried object recognition and context sensingThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-023-03089-140:6(4401-4426)Online publication date: 1-Jun-2024
https://dl.acm.org/doi/10.1007/s00371-023-03089-1
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Index Terms

Matching People across Camera Views using Kernel Canonical Correlation Analysis
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks
        Scene understanding

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Published In

cover image ACM Conferences

ICDSC '14: Proceedings of the International Conference on Distributed Smart Cameras

November 2014

286 pages

ISBN:9781450329255

DOI:10.1145/2659021

General Chair:
Andrea Prati
Università Iuav di Venezia, Italy
,
Publications Chair:
Niki Martinel
Università degli Studi di Udine, Udine, Italy

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 04 November 2014

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ICDSC '14: International Conference on Distributed Smart Cameras

November 4 - 7, 2014

Venezia Mestre, Italy

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Cited By

Chung WPolani DTiomkin S(2024)Dimensionality Reduction of Dynamics on Lie Groups via Structure-Aware Canonical Correlation Analysis2024 American Control Conference (ACC)10.23919/ACC60939.2024.10644415(439-446)Online publication date: 10-Jul-2024
https://doi.org/10.23919/ACC60939.2024.10644415
Yu SYang QWang JWu C(2024)FedUSL: A Federated Annotation Method for Driving Fatigue Detection based on Multimodal Sensing DataACM Transactions on Sensor Networks10.1145/3657291Online publication date: 10-Apr-2024
https://dl.acm.org/doi/10.1145/3657291
Russel NSelvaraj A(2024)Ownership of abandoned object detection by integrating carried object recognition and context sensingThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-023-03089-140:6(4401-4426)Online publication date: 1-Jun-2024
https://dl.acm.org/doi/10.1007/s00371-023-03089-1
Ali TChaudhuri S(2022)Theoretical Analysis of Null Foley-Sammon Transform and Its ImplicationsIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2022.3213069(1-14)Online publication date: 2022
https://doi.org/10.1109/TPAMI.2022.3213069
Sun BRen YLu X(2022)Semisupervised Consistent Projection Metric Learning for Person ReidentificationIEEE Transactions on Cybernetics10.1109/TCYB.2020.297926252:2(738-747)Online publication date: Feb-2022
https://doi.org/10.1109/TCYB.2020.2979262
Ren YHuang Z(2022)Distribution probability‐based self‐adaption metric learning for person re‐identificationIET Computer Vision10.1049/cvi2.1209416:4(376-387)Online publication date: 9-Mar-2022
https://doi.org/10.1049/cvi2.12094
Behera NSa PBakshi SPadhy R(2022)Person re-identificationImage and Vision Computing10.1016/j.imavis.2022.104432122:COnline publication date: 1-Jun-2022
https://dl.acm.org/doi/10.1016/j.imavis.2022.104432
Rani JAugasta M(2022)Recent Trends in Human Re-identification Techniques – A Comparative StudyMining Intelligence and Knowledge Exploration10.1007/978-3-031-21517-9_7(67-77)Online publication date: 15-Dec-2022
https://doi.org/10.1007/978-3-031-21517-9_7
Dai YLuo Z(2022)Graph Regularization Based Multi-view Dictionary Learning for Person Re-IdentificationArtificial Intelligence and Security10.1007/978-3-031-06794-5_19(227-239)Online publication date: 15-Jul-2022
https://dl.acm.org/doi/10.1007/978-3-031-06794-5_19
Yang XLiu WLiu WTao D(2021)A Survey on Canonical Correlation AnalysisIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2019.295834233:6(2349-2368)Online publication date: 1-Jun-2021
https://doi.org/10.1109/TKDE.2019.2958342
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