Title :
Vehicle-logo recognition based on classifier combinations
Author_Institution :
Coll. .of Electron. Inf. & Control Eng., Shandong Polytech. Univ., Jinan, China
Abstract :
This paper introduces vehicle-logo recognition by combining multiple classifiers. The principles of various classfier combination schemes are described. A vehicle-logo database that named VLD-SPU(1.0) was created. Some experiments of these classifier combination methods on VLD-SPU(1.0) database are given. The experiments result explain our understanding about classfier combinations.
Keywords :
covariance matrices; eigenvalues and eigenfunctions; feature extraction; image classification; principal component analysis; visual databases; VLD-SPU(1.0); covariance matrix; eigenvalue; kernel matrix; kernel principal component analysis; multiple classifier combination; vehicle logo feature extraction; vehicle-logo database; vehicle-logo recognition; Databases; Eigenvalues and eigenfunctions; Feature extraction; Kernel; Principal component analysis; Support vector machines; Testing; Dempster-Shafer; classifier combination; decision templates; vehicle-logo recognition;
Conference_Titel :
System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2012 3rd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-0914-1
DOI :
10.1109/ICSSEM.2012.6340863
