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
UR - http://www.scopus.com/inward/record.url?scp=84455211552&partnerID=8YFLogxK
U2 - 10.1109/CCST.2011.6095923
DO - 10.1109/CCST.2011.6095923
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 -