Proceedings Paper
Moving object recognition from video sequence images based on wavelet transform and neural network| Format | Member Price | Non-Member Price |
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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);
Published in SPIE Proceedings Vol. 8009:
Third International Conference on Digital Image Processing (ICDIP 2011)
Ting Zhang, Editor(s)
PDF: 5 pages
Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 800933 (8 July 2011);
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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