SBMI-LTD: stationary background model initialization based on low-rank tensor decomposition - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Sajid Javed, Thierry Bouwmans, Soon Ki Jung. SBMI-LTD: stationary background model initialization based on low-rank tensor decomposition. In Ahmed Seffah, Birgit Penzenstadler, Carina Alves, Xin Peng, editors, Proceedings of the Symposium on Applied Computing, SAC 2017, Marrakech, Morocco, April 3-7, 2017. pages 195-200, ACM, 2017. [doi]

The following publications are possibly variants of this publication:

Type-2 Fuzzy Mixture of Gaussians Model: Application to Background ModelingFida El Baf, Thierry Bouwmans, Bertrand Vachon. isvc 2008: 772-781 [doi]

Stochastic decomposition into low rank and sparse tensor for robust background subtractionSajid Javed, Thierry Bouwmans, Soon Ki Jung. icdp 2015: 1-6 [doi]

Spatiotemporal Low-Rank Modeling for Complex Scene Background InitializationSajid Javed, Arif Mahmood, Thierry Bouwmans, Soon Ki Jung. tcsv, 28(6):1315-1329, 2018. [doi]

runs on WebDSL