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A real-time small immobile object recognition system using wavelet moment invariants
Gu, Jiaojiao; Wang, Zhao; Song, Haitao; Xiao, Han; He, Wenhao; Yuan, Kui
2015-08
Conference Name2015 IEEE International Conference on Mechatronics and Automation
Source Publication2015 IEEE International Conference on Mechatronics and Automation
Conference DateAug. 2-5
Conference PlaceBeijing, China
Abstract
In this paper, a real-time small immobile object recognition system is implemented using wavelet moment-based back-propagation(BP) neural network classifier. The system is composed of a camera and an image acquiring and processing board developed by our research team. An FPGA chip and a DSP chip are embedded in the image board as the major calculation units, which make real-time computation possible. First, wavelet moment invariants of training samples are integrated with BP neural network to construct the classifier on the host computer. Then, real-time object detection and classification experiments are conducted according to the classifier on the image acquiring and processing board. Experiment results show that the algorithm can detect and classify different small immobile object types efficiently.
KeywordSmall Immobile Object Real-time Recognition Wavelet Moment Invariants Embedded System Bp Neural Network
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12129
Collection智能制造技术与系统研究中心_智能机器人
Corresponding AuthorGu, Jiaojiao
AffiliationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Gu, Jiaojiao,Wang, Zhao,Song, Haitao,et al. A real-time small immobile object recognition system using wavelet moment invariants[C],2015.
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