Detection of Moving Vehicles Using Multiple-Level Decomposition Wavelet Analysis | ||||
| The International Conference on Electrical Engineering | ||||
| Article 28, Volume 7, 7th International Conference on Electrical Engineering ICEENG 2010, May 2010, Page 1-9 PDF (352.88 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iceeng.2010.32968 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Hosny Abd-Elmonem; Ahmed Omar; Ahmed Ali | ||||
| Egyptian Armed Forces. | ||||
| Abstract | ||||
| This paper introduces an enhanced set of feature extraction for Automatic ground vehicle recognition (AGR), AGR features recognition is a required task in security and surveillance systems. Vehicle direction may be used in tracking object for traffic control or other applications. Multi-acoustic sensor and single seismic sensor were used for feature extraction and direction tracking. Wavelet analysis was used as a powerful tool for acoustic feature extraction. Sixth level wavelet analysis has enabled the extraction of enough features leading to high precision tracking and recognition. | ||||
| Keywords | ||||
| voice recognition; Detection of moving vehicles | ||||
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