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Proceedings Paper

Object identification by multispectral fusion and Haar classification
Author(s): Arun Manohar; Francesco Lanza di Scalea
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Paper Abstract

An approach to identify and classify objects in real time by multispectral imaging, wavelets based fusion, and Haar classification is presented. The specific object of interest is a cardboard box placed on the roadside. The proposed approach involves capturing a scene in the visible and infra red spectrum. Fusing the spectra is performed by using the wavelet transform. Further, Haar training is performed using sample positives and negatives prior to classification. The presented approach is tested to work in real time with very good accuracy. If successful, the method will be applied to the detection of a variety of anomalous objects placed at the roadside.

Paper Details

Date Published: 31 March 2010
PDF: 7 pages
Proc. SPIE 7647, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2010, 76471Q (31 March 2010); doi: 10.1117/12.847357
Show Author Affiliations
Arun Manohar, Univ. of California, San Diego (United States)
Francesco Lanza di Scalea, Univ. of California, San Diego (United States)


Published in SPIE Proceedings Vol. 7647:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2010
Masayoshi Tomizuka, Editor(s)

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