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In this experiment, we compare the performance of multiple abruptly maneuvering targets tracking with different algorithms.
In order to verify the proposed method, three experiments were conducted: one for one target tracking, the others for two targets tracking.
Instead of driving-related stimuli, we used non-driving visual and cognitive tasks that theoretically should underlie good driving skills, such as scanning the environment for targets, tracking multiple objects, identifying unexpected objects and tendency towards intrusive thought patterns.
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.
Multiple vehicle targets tracking is one of the most challenging problems in Intelligent Transportation Systems.
Multiple objects (targets) tracking plays an important role in computer vision.
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a Human targets tracked with different color rectangle bounding boxes.
(F ) Protein and (G ) peptide intensity data for targets tracked in SRM assay.
Next, we highlight the main contribution of our work, which is the multi-related-targets tracking approach.
This paper attempts multiple-targets tracking control design for a class of single-input multiple-output (SIMO) nonlinear systems.
A limited number of publications focus on smoothing target tracking.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com