Real-time vehicle color identification for surveillance videos

Chih Yang Lin*, Cheng Hao Yeh, Chia Hung Yeh

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

6 Citations (Scopus)

Abstract

Vehicles are one of the main detection targets of the traffic and security video surveillance system. In this paper, we propose an automatic vehicle color identification method for vehicle classification. The main idea of the proposed scheme is to divide a vehicle into a hierarchical coarse-to-fine structure to extract its wheels, windows, main body, and other auto parts. In the proposed method, the main body alone is used by a support vector machine (SVM) for classification. Experimental results show that the proposed scheme is efficient and effective and the proposed vehicle color identification is suitable for real-time surveillance applications.

Original languageEnglish
Pages59-64
Number of pages6
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event24th International Conference on Electronics, Communications and Computers, CONIELECOMP 2014 - Cholula, Mexico
Duration: 2014 Feb 262014 Feb 28

Conference

Conference24th International Conference on Electronics, Communications and Computers, CONIELECOMP 2014
Country/TerritoryMexico
CityCholula
Period2014/02/262014/02/28

Keywords

  • support vector machine
  • tree structure
  • vehicle color classification

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Real-time vehicle color identification for surveillance videos'. Together they form a unique fingerprint.

Cite this