The task of object tracking is crucial in computer vision. Many computer vision applications that process the camera’s visual feed include object trackers as a crucial component.
MOT, or multiple object tracking, was initially created to assist the visual indexing hypothesis (FINST theory).
MOT was then frequently employed in experiments to examine how our visual system monitors a variety of moving objects. To learn more about how humans process visual and cognitive information, many or even hundreds of modified MOT studies have been undertaken.
The Global Multiple Object Tracking Radar market accounted for $XX Billion in 2021 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2022 to 2030.
BAE Systems unveiled iMOTRTM, a cutting-edge mobile multiple-object tracking radar (MOTR) that makes use of commercially available (COTS) products to give military test and evaluation ranges a higher degree of accuracy in tracking time, space, and position information (TSPI) for objects in flight.
In order to increase accuracy assessments of object launch data and enable more precise flight-path tracking for objects travelling near to the ground, the iMOTR is equipped with a C-band or X-band active electronically scanned array antenna and improved clutter suppression.
Other radars or data-gathering sensors can receive tracking information in real-time. The radar is also set up to offer higher precision TSPI data on more objects in flight than the test range radars of today.
The test and evaluation community will be able to test larger, more complicated scenarios thanks to these new capabilities, which are essential for creating the next wave of solutions to strengthen national security.
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