The color identification of automobiles for video surveillance

Yu Chen Wang; Chen Ta Hsieh; Chin Chuan Han; Kuo Chin Fan

doi:10.1109/CCST.2011.6095923

The color identification of automobiles for video surveillance

Yu Chen Wang, Chen Ta Hsieh, Chin Chuan Han, Kuo Chin Fan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

Color identification of automobiles plays a significant in intelligent transportation systems (ITS). In this paper, a novel scheme for color identification of automobile is proposed using the taillight detection and a template matching module. The taillights of cars are detected to find the valid regions of interested (ROIs) for color identification. The color feature vectors generated by 3 by 3 neighboring pixels are classified by a template matching strategy. Seven classes, red, yellow, blue, green, black, white, and gray, are identified in this work. Experimental results have been conducted to show the validity of the proposed method. The averaged accuracy rate 81.71% is achieved and the performance of this scheme is up to 20 frames per second.

Original language	English
Title of host publication	2011 Carnahan Conference on Security Technology, ICCST 2011
DOIs	https://doi.org/10.1109/CCST.2011.6095923
State	Published - 2011
Event	2011 IEEE International Carnahan Conference on Security Technology, ICCST 2011 - Barcelona, Spain Duration: 18 Oct 2011 → 21 Oct 2011

Publication series

Name	Proceedings - International Carnahan Conference on Security Technology
ISSN (Print)	1071-6572

Conference

Conference	2011 IEEE International Carnahan Conference on Security Technology, ICCST 2011
Country/Territory	Spain
City	Barcelona
Period	18/10/11 → 21/10/11

Keywords

Intelligent transportation system
color identification of automobiles
color template matching algorithm
region of interest
taillight detection algorithm

Access to Document

10.1109/CCST.2011.6095923

Cite this

@inproceedings{21b7d3677a094bb78cbe938fa5583859,

title = "The color identification of automobiles for video surveillance",

abstract = "Color identification of automobiles plays a significant in intelligent transportation systems (ITS). In this paper, a novel scheme for color identification of automobile is proposed using the taillight detection and a template matching module. The taillights of cars are detected to find the valid regions of interested (ROIs) for color identification. The color feature vectors generated by 3 by 3 neighboring pixels are classified by a template matching strategy. Seven classes, red, yellow, blue, green, black, white, and gray, are identified in this work. Experimental results have been conducted to show the validity of the proposed method. The averaged accuracy rate 81.71% is achieved and the performance of this scheme is up to 20 frames per second.",

keywords = "Intelligent transportation system, color identification of automobiles, color template matching algorithm, region of interest, taillight detection algorithm",

author = "Wang, {Yu Chen} and Hsieh, {Chen Ta} and Han, {Chin Chuan} and Fan, {Kuo Chin}",

year = "2011",

doi = "10.1109/CCST.2011.6095923",

language = "???core.languages.en_GB???",

isbn = "9781457709029",

series = "Proceedings - International Carnahan Conference on Security Technology",

booktitle = "2011 Carnahan Conference on Security Technology, ICCST 2011",

note = "2011 IEEE International Carnahan Conference on Security Technology, ICCST 2011 ; Conference date: 18-10-2011 Through 21-10-2011",

}

Wang, YC, Hsieh, CT, Han, CC & Fan, KC 2011, The color identification of automobiles for video surveillance. in 2011 Carnahan Conference on Security Technology, ICCST 2011., 06095923, Proceedings - International Carnahan Conference on Security Technology, 2011 IEEE International Carnahan Conference on Security Technology, ICCST 2011, Barcelona, Spain, 18/10/11. https://doi.org/10.1109/CCST.2011.6095923

The color identification of automobiles for video surveillance. / Wang, Yu Chen; Hsieh, Chen Ta; Han, Chin Chuan et al.
2011 Carnahan Conference on Security Technology, ICCST 2011. 2011. 06095923 (Proceedings - International Carnahan Conference on Security Technology).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The color identification of automobiles for video surveillance

AU - Wang, Yu Chen

AU - Hsieh, Chen Ta

AU - Han, Chin Chuan

AU - Fan, Kuo Chin

PY - 2011

Y1 - 2011

N2 - Color identification of automobiles plays a significant in intelligent transportation systems (ITS). In this paper, a novel scheme for color identification of automobile is proposed using the taillight detection and a template matching module. The taillights of cars are detected to find the valid regions of interested (ROIs) for color identification. The color feature vectors generated by 3 by 3 neighboring pixels are classified by a template matching strategy. Seven classes, red, yellow, blue, green, black, white, and gray, are identified in this work. Experimental results have been conducted to show the validity of the proposed method. The averaged accuracy rate 81.71% is achieved and the performance of this scheme is up to 20 frames per second.

AB - Color identification of automobiles plays a significant in intelligent transportation systems (ITS). In this paper, a novel scheme for color identification of automobile is proposed using the taillight detection and a template matching module. The taillights of cars are detected to find the valid regions of interested (ROIs) for color identification. The color feature vectors generated by 3 by 3 neighboring pixels are classified by a template matching strategy. Seven classes, red, yellow, blue, green, black, white, and gray, are identified in this work. Experimental results have been conducted to show the validity of the proposed method. The averaged accuracy rate 81.71% is achieved and the performance of this scheme is up to 20 frames per second.

KW - Intelligent transportation system

KW - color identification of automobiles

KW - color template matching algorithm

KW - region of interest

KW - taillight detection algorithm

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M3 - 會議論文篇章

AN - SCOPUS:84455211552

SN - 9781457709029

T3 - Proceedings - International Carnahan Conference on Security Technology

BT - 2011 Carnahan Conference on Security Technology, ICCST 2011

T2 - 2011 IEEE International Carnahan Conference on Security Technology, ICCST 2011

Y2 - 18 October 2011 through 21 October 2011

ER -

The color identification of automobiles for video surveillance

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Keywords

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