Discriminant Pixel-Difference Vector Hashing of Spatial-Temporal Local Binary Patterns for Dynamic Texture Recognition

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

Spatial-Temporal Local Binary Pattern (STLBP) has been widely used for dynamic texture (DT) recognition. Hashing Pixel-Difference Vectors (PDVs) into binary codes before forming histogram features has proven its effectiveness in improving the discriminative power of LBP features. However, hashing PDVs and forming histograms are often separated into two steps, resulting in sub-optimal LBP features. To bridge this gap, we propose to integrate the criterion of maximizing the discriminant power of LBP histogram features backwards into PDV hashing. Specifically, during PDV hashing, we propose to add the criteria of maximizing the Bhattacharyya distance between LBP histograms of different classes and minimizing the distance between LBP histograms of the same class. The histograms of hash codes are clustered to form a dictionary, and the generated codewords are used for final classification. The proposed method is evaluated on the DynTex++ dataset and a large fire-detection dataset. It significantly outperforms state-of-the-art STLBP descriptors.

Original languageEnglish
Title of host publication2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6245-6249
Number of pages5
ISBN (Electronic)9798350344851
DOIs
Publication statusPublished - 2024
Event49th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Seoul, Korea, Republic of
Duration: 14 Apr 202419 Apr 2024

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference49th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024
Country/TerritoryKorea, Republic of
CitySeoul
Period14/04/2419/04/24

Keywords

  • Dynamic Texture Recognition
  • Fire Detection
  • Pixel-Difference Vector Hashing
  • Spatial-Temporal Local Binary Pattern

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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