Color-spatial person re-identification by a voting matching scheme

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper introduces a novel and fast method for person re-identification using features extracted from the appearance of individuals observed in non-overlapped fields of views in a network of surveillance cameras. The proposed method involves segmentation of silhouettes into meaningful regions, which is close to human visual categorization of colorful clothes, consequently obtaining better performance in various poses. The spatial features extracted from these areas that include color features contribute to the robustness of the method due to illumination changes. In addition, the use of the voting scheme reduces the computational complexity of the algorithm, thus yielding a fast algorithm.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages470-482
Number of pages13
Volume8237 LNCS
DOIs
Publication statusPublished - 2013
Event3rd International Visual Informatics Conference, IVIC 2013 - Selangor
Duration: 13 Nov 201315 Nov 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8237 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other3rd International Visual Informatics Conference, IVIC 2013
CitySelangor
Period13/11/1315/11/13

Fingerprint

Voting
Person
Color
Computational complexity
Silhouette
Lighting
Cameras
Categorization
Field of View
Surveillance
Fast Algorithm
Illumination
Computational Complexity
Segmentation
Camera
Robustness

Keywords

  • appearance-based
  • illumination
  • re-identification
  • spatial feature

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Saghafi, M. A., Hussain, A., Badioze Zaman, H., & Md Saad, M. H. (2013). Color-spatial person re-identification by a voting matching scheme. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8237 LNCS, pp. 470-482). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8237 LNCS). https://doi.org/10.1007/978-3-319-02958-0_43

Color-spatial person re-identification by a voting matching scheme. / Saghafi, Mohammad Ali; Hussain, Aini; Badioze Zaman, Halimah; Md Saad, Mohamad Hanif.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8237 LNCS 2013. p. 470-482 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8237 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Saghafi, MA, Hussain, A, Badioze Zaman, H & Md Saad, MH 2013, Color-spatial person re-identification by a voting matching scheme. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 8237 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8237 LNCS, pp. 470-482, 3rd International Visual Informatics Conference, IVIC 2013, Selangor, 13/11/13. https://doi.org/10.1007/978-3-319-02958-0_43
Saghafi MA, Hussain A, Badioze Zaman H, Md Saad MH. Color-spatial person re-identification by a voting matching scheme. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8237 LNCS. 2013. p. 470-482. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-02958-0_43
Saghafi, Mohammad Ali ; Hussain, Aini ; Badioze Zaman, Halimah ; Md Saad, Mohamad Hanif. / Color-spatial person re-identification by a voting matching scheme. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8237 LNCS 2013. pp. 470-482 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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