Sentence examples for multiple target tracking from inspiring English sources

Rao-Blackwellized has been used for multiple target tracking.

The problem faced in this framework is that of Multiple Target Tracking (MTT).

Multiple target tracking in crowded urban environments is a daunting task.

Thus accomplishing efficient and alternative multiple target tracking algorithms based on expert systems.

Multiple Target Tracking (MTT) is the process of computing the number of targets present in a surveillance area.

The receiver bistatic measurements, after local data processing, are sent to a central processing station, where three dimensional multiple target tracking is conducted.

The Probability Hypothesis Density (PHD) filter is a promising technique in terms of computational complexity to solve the multiple targets tracking problem.

The system architecture, hardware and software organization, as well as the solutions for multiple targets tracking, RSSI interference and localization accuracy have been introduced in details.

That is, each approach contributes to the solution of the problem of multiple targets tracking in a different way.

This assumption however may not be suitable for some applications like the multiple targets tracking system [10] or SensorWeb project [11], where heavy load should be distributed with limited number of sensor nodes and a sensor node needs to be in charge of different targets simultaneously.

In the case of multiple targets, track filtering must also deal with a track maintenance and with the problems of determining which measurements to associate with which targets being tracked.