Moving object recognition from video sequence images based on wavelet transform and neural network

Kun Zhang; Cuirong Wang

doi:10.1117/12.896122

8 July 2011 Moving object recognition from video sequence images based on wavelet transform and neural network

Kun Zhang, Cuirong Wang

Proceedings Volume 8009, Third International Conference on Digital Image Processing (ICDIP 2011); 800933 (2011) https://doi.org/10.1117/12.896122
Event: 3rd International Conference on Digital Image Processing, 2011, Chengdu, China

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.

Citation Download Citation

Kun Zhang and Cuirong Wang "Moving object recognition from video sequence images based on wavelet transform and neural network", Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 800933 (8 July 2011); https://doi.org/10.1117/12.896122

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