The task of classifying the types of moving vehicles in a distributed, wireless sensor network
is investigated. Specifically, based on an extensive real world experiment, we have …

The support vector machine (SVM) provides a robust, accurate and effective technique for
pattern recognition and classification. Although the SVM is essentially a binary classifier, it …

The highly distributed infrastructure provided by sensor networks supports fundamentally
new ways of designing surveillance systems. In this paper, we discuss sensor networks for …

The focus of this work is on the problem of feature selection and classification for on-road
vehicle detection. In particular, we propose using quantized Haar wavelet features and …

A distributed sensor network (DSN) consists of a set of processing nodes collecting data
from sensors. When the nodes communicate, each node fuses the information received from …

The current state of the art advancements in sensors, computation, and wireless
communication technologies has made possible a vast range of emerging applications in …

One disadvantage of most conventional vehicle detection methods in a traffic control system
is that they can only detect the vehicle in a fixed position. This paper proposed a new vehicle …

The widespread use of cameras for traffic monitoring coupled with the availability of robust
tracking algorithms has led to volumes of data. It is necessary to process this data for higher …

A description is given of the system architecture of an autonomous vehicle and its real-time
adaptive vision system for road-following. The vehicle is a 10-ton armored personnel carrier …

Wireless sensor networks are being employed in a variety applications ra-ing from medical
to military, and from home to industry. The principle aim of this book is to provide a reference …