The University of Tennessee, Knoxville



The overall objective of this project is to advance the state of the art in target handoff for multi-sensor-multi-target tracking systems. The specific objective is to develop techniques to design a target handoff platform to quantitatively evaluate the effectiveness of target tracking so that target handoff can be triggered timely and the sensor to which the target of interest is transferred can be selected optimally. Most existing target handoff algorithms concentrate on consistent labeling, which leaves two unsolved problems: (I) no quantitative measure is given to guide the transitions between adjacent sensors; (II) it is difficult to maintain a constant frame rate given limited resources. These two problems lead to a deteriorated performance of consistent labeling and possible observation leaks. As a result, the tracking system is unable to continuously track the target of interest and immediately detect threatening events in the monitored area. The proposed new work represents a general framework for employing an adaptive resource management mechanism to dynamically allocate sensors’ resources to multiple targets with different priorities so that the required minimum frame rate is maintained. The method to be developed should require limited or no information about the sensors in order to be able to handle those situations where information is unavailable. We will meet this objective by developing a generic trackability measure model to quantitatively evaluate the effectiveness of a sensor in observing the tracked object.

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