Moving object detection using statistical background subtraction in wavelet compressed domain
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
http://link.springer.com/content/pdf/10.1007/s11042-019-08506-z.pdf
Reference55 articles.
1. Akula A, Khanna N, Ghosh R, Kumar S, Das A, Sardana HK (2014) Adaptive contour-based statistical background subtraction method for moving target detection in infrared video sequences. Infrared Physics and Technology 63:103–109
2. Antonini M, Barlaud M, Mathieu P, Daubechies I (1992) Image coding using wavelet transform. IEEE Trans Image Process 1(2):205–220
3. Babaee M, Dinh DT, Rigoll G (2018) A deep convolutional neural network for video sequence background subtraction. Pattern Recogn 76:635–649
4. Bouwmans T, Javed S, Sultana M, Jung SK (2019) Deep neural network concepts for background subtraction: a systematic review and comparative evaluation. Neural Networks
5. Bouwmans T, Silva C, Marghes C, Zitouni MS, Bhaskar H, Frelicot C (2018) On the role and the importance of features for background modeling and foreground detection. Computer Science Review 28:26–91
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