Title

Cluster-Based Object Tracking by Wireless Camera Networks

Document Type

Contribution to Book

Language

eng

Format of Original

4 p.

Publication Date

2009

Publisher

Elsevier

Source Publication

Multi-Camera Networks: Principles and Applications

Source ISSN

9780123746337

Original Item ID

doi: 10.1016/B978-0-12-374633-7.00025-2

Abstract

In this chapter, we present a distributed object tracking system that employs a cluster-based Kalman filter in a network of wireless cameras. Cluster formation is triggered by the detection of objects with specific features. More than one cluster may track a single target, since cameras that see the same object may be outside of each other's communication range. The clustering protocol allows the current state and uncertainty of the target position to be easily handed off among cluster heads as the object is being tracked.

Comments

"Cluster-Based Object Tracking by Wireless Camera Networks," in Multi-Camera Networks: Principles and Applications. Eds. Hamid Aghajan and Andrea Cavallaro. Burlington: Elsevier (Academic Press), 2009: 539-572. DOI.

Henry Medeiros was affiliated with Purdue University at the time of publication.