What is it about?
This paper presents a method to perform the real-time creation of models that are used to represent aspects of tracked objects in video frames. Object modeling is done during the task of tracking previously unseen selected objects, and both tracking and model creation are implemented using the WiSARD weightless neural network and occur in real time, starting from no prior knowledge.
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Why is it important?
The main purpose of this work is to track an object through camera images and, simultaneously, create a model that describes the presented appearances along with the transitions between each learned aspect. To achieve this goal, an object tracker based on the ClusWiSARD weightless neural network model was used to determine the states that describe the observed objects.
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This page is a summary of: Object modeling through weightless tracking, Neural Computing and Applications, March 2024, Springer Science + Business Media,
DOI: 10.1007/s00521-024-09601-5.
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