Juliano Lessa Pinto on Muck Rack

Juliano Lessa Pinto

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Articles

Deep Learning for Model-Based Multiobject Tracking

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By Juliano Lessa Pinto, Georg Hess, Yuxuan Xia, William Ljungbergh
| IEEE
Multiobject tracking (MOT) is the problem concerned with recursively estimating the state of unknown and time-varying number of objects, based on a sequence of noisy sensor measurements. The objects of interest can enter and leave the field-of-view (FOV) at any time, they do not always generate measurements at every time step, and there can be false measurements originating from sensor noise and/or clutter.
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