Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network

  Advanced Search  

A diffusion framework for detection of moving A. Averbuch, K. Hochman, N. Rabin, A. Schclar and V. Zheludev

Summary: A diffusion framework for detection of moving
A. Averbuch, K. Hochman, N. Rabin, A. Schclar and V. Zheludev
School of Computer Science
Tel Aviv University, Tel Aviv 69978, Israel
Automatic acoustic-based vehicle detection is a common task in se-
curity and surveillance systems. Usually, a recording device is placed
in a designated area and a hardware/software system processes the
sounds that are intercepted by this recording device to identify vehicles
only as they pass by. We propose a novel algorithm for the real-time
detection of vehicles based on their recordings. The algorithm uses the
wavelet-packet transform in order to extract spatio-temporal charac-
teristic features from the recordings where the underlying assumption
is that these features constitute a unique acoustic signature for each
of the recordings. The feature extraction procedure is followed by the
Diffusion Maps (DM) dimensionality reduction algorithm which fur-
ther reduces the size of the signature. A new recording is classified
by employing the wavelet-packet feature extraction and embedding


Source: Averbuch, Amir - School of Computer Science, Tel Aviv University


Collections: Computer Technologies and Information Sciences