Detection, Classification and Tracking of Targets in Distributed Sensor Networks

TLDR

The paper outlines a framework for collaborative signal processing in distributed sensor networks and identifies issues, challenges, and future research directions. The ideas are presented in the context of tracking multiple moving objects in a sensor field. The framework involves event detection, target classification, and estimation/prediction of target location, with algorithms discussed emphasizing classification. Experiments with real data show useful insights into the essential nature of the problems.

Abstract

We outline a framework for collaborative signal processing in distributed sensor networks. The ideas are presented in the context of tracking multiple moving objects in a sensor field. The key steps involved in the tracking procedure include event detection, target classification, and estimation and prediction of target location. Algorithms for various tasks are discussed with an emphasis on classification. Results based on experiments with real data are reported which provide useful insights into the essential nature of the problems. Issues, challenges and directions for future research are identified.