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Proceedings Paper

Moving object recognition from video sequence images based on wavelet transform and neural network
Author(s): Kun Zhang; Cuirong Wang
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Paper Abstract

In this paper, we present a new method of moving object recognition from video images based on wavelet transform and neural network. We first separate the target moving object images from the video Sequence Images, then use the wavelet coefficients statistics as the feature description which can form the training set for the Neural Network. The experimental result shows that this method is practicability, feasibility and good precision.

Paper Details

Date Published: 8 July 2011
PDF: 5 pages
Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 800933 (8 July 2011); doi: 10.1117/12.896122
Show Author Affiliations
Kun Zhang, Northeastern Univ. at Qinhuangdao (China)
Cuirong Wang, Northeastern Univ. at Qinhuangdao (China)


Published in SPIE Proceedings Vol. 8009:
Third International Conference on Digital Image Processing (ICDIP 2011)
Ting Zhang, Editor(s)

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