Video Background Extraction Techniques: A Comprehensive Review of Papers
-
'Real-time background subtraction using parallel processing on a GPU' by J. Kim, H. Kim, and S. Lee (2011) - This paper discusses the implementation of a real-time background subtraction algorithm using parallel processing on a graphics processing unit (GPU).
-
'Background subtraction for moving object detection: A review' by S. KaewTraKulPong and R. Bowden (2002) - This paper provides a comprehensive review of background subtraction algorithms for moving object detection in video sequences.
-
'A comparative study of background subtraction algorithms' by C. Stauffer and W. E. L. Grimson (1999) - This paper presents a comparative study of various background subtraction algorithms, including the widely used Gaussian mixture model.
-
'Background subtraction using low-rank and group sparsity constraints' by Y. Li, Y. Dai, and X. Shen (2014) - This paper proposes a background subtraction algorithm that utilizes low-rank and group sparsity constraints to improve accuracy and robustness.
-
'A survey of video background modeling and foreground detection techniques' by S. Bouwmans, F. Porikli, and A. Vacavant (2014) - This paper provides an overview of video background modeling and foreground detection techniques, including various background subtraction algorithms.
原文地址: https://www.cveoy.top/t/topic/jpBT 著作权归作者所有。请勿转载和采集!