Fuzzy region assignment for visual tracking Articles uri icon

publication date

  • September 2011

start page

  • 1845

end page

  • 1864

issue

  • 9

volume

  • 15

international standard serial number (ISSN)

  • 1432-7643

electronic international standard serial number (EISSN)

  • 1433-7479

abstract

  • In this work we propose a new approach based on fuzzy concepts and heuristic reasoning to deal with the visual data association problem in real time, considering the particular conditions of the visual data segmented from images, and the integration of higher-level information in the tracking process such as trajectory smoothness, consistency of information, and protection against predictable interactions such as overlap/occlusion, etc. The objects' features are estimated from the segmented images using a Bayesian formulation, and the regions assigned to update the tracks are computed through a fuzzy system to integrate all the information. The algorithm is scalable, requiring linear computing resources with respect to the complexity of scenarios, and shows competitive performance with respect to other classical methods in which the number of evaluated alternatives grows exponentially with the number of objects.

keywords

  • machine vision; video data association; fuzzy system design