On Non-Linear Trajectory Tracking via Variety-Based Background Subtraction Models

Elnakeeb, Amr; Mitra, Urbashi

doi:10.1109/tsp.2021.3139262

On Non-Linear Trajectory Tracking via Variety-Based Background Subtraction Models

Journal Article · 01 January 2022 · IEEE Transactions on Signal Processing

DOI:https://doi.org/10.1109/tsp.2021.3139262· OSTI ID:1980591

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Not provided.

Research Organization:: Univ. of Southern California, Los Angeles, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

DOE Contract Number:: SC0021417

OSTI ID:: 1980591

Journal Information:: IEEE Transactions on Signal Processing, Vol. 70; ISSN 1053-587X

Publisher:: IEEE

Country of Publication:: United States

Language:: English

References (24)

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Line Constrained Estimation With Applications to Target Tracking: Exploiting Sparsity and Low-Rank Elnakeeb, Amr; Mitra, Urbashi IEEE Transactions on Signal Processing, Vol. 66, Issue 24 https://doi.org/10.1109/TSP.2018.2876305	journal	December 2018
Efficient background subtraction with low-rank and sparse matrix decomposition Ebadi, Salehe Erfanian; Ones, Valia Guerra; Izquierdo, Ebroul 2015 IEEE International Conference on Image Processing (ICIP) https://doi.org/10.1109/ICIP.2015.7351731	conference	September 2015
Background Subtraction Based on Low-Rank and Structured Sparse Decomposition Liu, Xin; Zhao, Guoying; Yao, Jiawen IEEE Transactions on Image Processing, Vol. 24, Issue 8 https://doi.org/10.1109/TIP.2015.2419084	journal	August 2015
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