2004 IEEE Radar Conference

Innovative Radar Technologies - Expanding System Capabilities

 
 
 April 26-29, 2004 Wyndham Philadelphia at Franklin Plaza Philadelphia, Pennsylvania
 
 
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Session 4B.2
CoreTracking: An Efficient Approach to Clustering Moving Targets and Tracking Clusters

Daoying Ma - University at Buffalo, the State University of New York, Aidong Zhang - University at Buffalo, the State University of New York

Tue, 27 April 2004, 4:10 PM - 5:30 PM


Abstract

Detecting the activities and predicting the tendencies of large groups of targets in wide battlefields are critical inputs to formulating sound military decisions. Modern airborne radar sensors can provide wide-area surveillance coverage of battlefield ground activities. When obscured by terrain or other factors, some objects may only be detectable at intervals, generating intermittent radar data and creating difficulties for tracking groups over time. In this paper, we present an algorithm, termed CoreTracking, which dynamically groups individual targets into clusters and tracks the clusters over time. Most traditional clustering techniques are static-object-oriented. We propose a ?core member? concept to support dynamic-object-oriented clustering and to mitigate the effects of data intermittence. Observing the movement of the core cluster members, we can track the clusters across frames and predict their future movements. The performance and results of the application of the CoreTracking algorithm to CASTFOREM data sets is also presented.

 
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