Abstract
In this paper, we present a new software developed to evaluate performance of background subtraction (BGS) methods in pixel-level and frame-level. To evaluate accuracy of diverse conventional BGS techniques, users first should select a BGS method, its fundamental parameters and test data set. Then, the software performs implemented analysis procedures to output qualitative and quantitative evaluation results in terms of precision, recall and f-measure. The software will be very useful in evaluating user-provided BGS methods against existing BGS methods on a variety of test data sets.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
