DocumentCode
736779
Title
An Algorithm of Feather and Down Target Detection and Tracking Method Based on Sparse Representation
Author
Wang, Yanqiu ; Yan, Xiaofei ; Zhang, Wei
fYear
2015
fDate
13-14 June 2015
Firstpage
87
Lastpage
90
Abstract
Feather and down products are becoming more and more popular. In recent years, the research team has done the down automatic detection and recognition by computer. In order to raise the recognition rate of feather and down category, in the paper a goal down image detection adaptive sparse representation and tracking method based on image is proposed, and target detection is used to determine the feather and down category. First of all, after the study, proposed improved adaptive sparse expression theory, and related features in the study of down on the image, the adaptive sparse representation theory and the multi-scale geometric analysis theory is applied to image recognition algorithm. The research will build a new adaptive sparse expression theory system, improve the robustness of the feather of image recognition, and will promote the target tracking technology innovation.
Keywords
Computers; Dictionaries; Feathers; Image recognition; Support vector machines; Target recognition; Target tracking; Feather and Down; Goal Tracking; Image Recognition; Sparse Representation;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation (ICMTMA), 2015 Seventh International Conference on
Conference_Location
Nanchang, China
Print_ISBN
978-1-4673-7142-1
Type
conf
DOI
10.1109/ICMTMA.2015.28
Filename
7263520
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