Title :
Wavelet moment and improved adaboost application to vehicle-logo location
Author :
Pan, Xiang ; Huang, Xiang-Nian ; Zhang, Shao-Hui ; Li, Xiang ; Wu, Tian-Ai
Author_Institution :
Sch. of Math. & Comput. Eng., Xihua Univ., Chengdu, China
Abstract :
In this paper, we firstly describe improved Adaboost algorithm, and then introduce wavelet moment, which has rotation, shift, scale moment invariants and multi-resolution characteristic, and which can not only extract image local feature, but also can extract global feature. so it is more stronger to oppose noise. This paper proposes dynamic pyramid changing idea of detector scale. A cascade classifier was trained based on wavelet moment and improved Adaboost to detect Vehicle-logo. The experiment proved that it was real-time and had quite a high rate of detection.
Keywords :
feature extraction; image classification; image resolution; learning (artificial intelligence); traffic engineering computing; vehicles; wavelet transforms; Adaboost algorithm; cascade classifier; global feature extraction; image local feature extraction; multiresolution characteristic; vehicle-logo detection; vehicle-logo location; wavelet moment; Algorithm design and analysis; Application software; Australia; Automotive engineering; Cybernetics; Face detection; Feature extraction; Mathematics; USA Councils; Vehicle detection; Adaboost; cascade classifier; moment invariants; vehicle-logo; wavelet moment;
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
DOI :
10.1109/ICSMC.2009.5346004