Real-time Vehicle Color Identification for Surveillance Videos

• Main Authors: Cheng-hao Yeh, 葉政豪
• Other Authors: Chia-Hung Yeh
• Format: Others
• Language: en_US
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/q62q7g

碩士 === 國立中山大學 === 電機工程學系研究所 === 102 === Vehicles are one of the main detection targets of the traffic and security video surveillance system. In this thesis, we propose an automatic vehicle color identification method for vehicle classification. The detected vehicle goes through a two layer classifier. Then, vehicle is classified into chromatic vehicle and achromatic vehicle. We focus on the classifier design and chromatic vehicle’s feature. The main idea of the feature extraction 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 classified by based on a chromatic scheme. Experimental results show that the proposed scheme is efficient and effective and the proposed vehicle color identification is suitable for real-time surveillance applications.