Video Frame’s Background Modeling: Reviewing the Techniques

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Journal of Signal and Information Processing

ISSN Print: 2159-4465
ISSN Online: 2159-4481
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E-mail: jsip@scirp.org

Google-based Impact Factor: 1.19
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"Video Frame’s Background Modeling: Reviewing the Techniques"
written by Hamid Hassanpour, Mehdi Sedighi, Ali Reza Manashty,
published by Journal of Signal and Information Processing, Vol.2 No.2, 2011

has been cited by the following article(s):

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[19]	Background initialization based on bidirectional analysis and consensus voting
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[34]	Moving Object Detection Using Background Subtraction
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[47]	GPU-based implementation of an optimized nonparametric background modeling for real-time moving object detection
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[48]	pROST: A Smoothed Lp-norm Robust Online Subspace Tracking Method for Realtime Background Subtraction in Video
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[49]	On the Mahalanobis distance classification criterion for multidimensional normal distributions
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[50]	pROST: a smoothed\ ell _p-norm robust online subspace tracking method for background subtraction in video
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[51]	Hardware Acceleration of Background Modeling in the Compressed Domain
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[52]	基于DWT 的自适应在线聚类运动目标提取方法
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[1]	A New Surveillance and Security Alert System Based on Real-Time Motion Detection Journal of Smart Systems Research, 2023 DOI:10.58769/joinssr.1262853

[2]	An improved multi-object classification algorithm for visual SLAM under dynamic environment Intelligent Service Robotics, 2022 DOI:10.1007/s11370-021-00400-8

[3]	Illumination Inconsistency Reduction in Video Frames using DSIHE with Kekre’s LUV Color Space 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), 2021 DOI:10.1109/ICICV50876.2021.9388567

[4]	On the Mahalanobis Distance Classification Criterion for a Ventricular Septal Defect Diagnostic System Medical Diagnosis, 2020 DOI:10.12677/MD.2020.101007

[5]	A novel method for semi transparency effect in academic videos 2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2017 DOI:10.1109/ICCCNT.2017.8203984

[6]	Moving Object Detection Using Scanning Camera on a High-Precision Intelligent Holder Sensors, 2016 DOI:10.3390/s16101758

[7]	Motion background modeling based on context-encoder 2016 Third International Conference on Artificial Intelligence and Pattern Recognition (AIPR), 2016 DOI:10.1109/ICAIPR.2016.7585207

[8]	Moving object detection and background enhancement for thalamic visual prostheses 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 DOI:10.1109/EMBC.2016.7591779

[9]	Finding areas of motion in camera trap images 2016 IEEE International Conference on Image Processing (ICIP), 2016 DOI:10.1109/ICIP.2016.7532575

[10]	Background initialization based on bidirectional analysis and consensus voting 2016 23rd International Conference on Pattern Recognition (ICPR), 2016 DOI:10.1109/ICPR.2016.7899620

[11]	Background light ray modeling for change detection Journal of Visual Communication and Image Representation, 2016 DOI:10.1016/j.jvcir.2016.02.013

[12]	Change detection on light field for active video surveillance 2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2015 DOI:10.1109/AVSS.2015.7301785

[13]	A General-Purpose Sensing Floor Architecture for Human-Environment Interaction ACM Transactions on Interactive Intelligent Systems, 2015 DOI:10.1145/2751566

[14]	New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops Lecture Notes in Computer Science, 2015 DOI:10.1007/978-3-319-23222-5_59

[15]	A General-Purpose Sensing Floor Architecture for Human-Environment Interaction ACM Transactions on Interactive Intelligent Systems, 2015 DOI:10.1145/2751566

[16]	Moving Object Detection Using Background Subtraction SpringerBriefs in Computer Science, 2014 DOI:10.1007/978-3-319-07386-6_3

[17]	Robust Subspace Estimation Using Low-Rank Optimization The International Series in Video Computing, 2014 DOI:10.1007/978-3-319-04184-1_2

[18]	Moving Object Detection Using Background Subtraction SpringerBriefs in Computer Science, 2014 DOI:10.1007/978-3-319-07386-6_3

[19]	A Novel Video Dataset for Change Detection Benchmarking IEEE Transactions on Image Processing, 2014 DOI:10.1109/TIP.2014.2346013

[20]	pROST: a smoothed $$\ell _p$$ ℓ p -norm robust online subspace tracking method for background subtraction in video Machine Vision and Applications, 2014 DOI:10.1007/s00138-013-0555-4

[21]	A Local Optical Flow Constraint Target Extracting Algorithm of Kalman Filter Based on Background Modeling Applied Mechanics and Materials, 2014 DOI:10.4028/www.scientific.net/AMM.596.316

[22]	The Improvement and Implementation of Examinee Identification Algorithm Based on the Video Surveillance Applied Mechanics and Materials, 2014 DOI:10.4028/www.scientific.net/AMM.556-562.2838

[23]	Robust Subspace Estimation Using Low-Rank Optimization The International Series in Video Computing, 2014 DOI:10.1007/978-3-319-04184-1_2

[24]	Improved background modeling for real-time spatio-temporal non-parametric moving object detection strategies Image and Vision Computing, 2013 DOI:10.1016/j.imavis.2013.06.003

[25]	On the Mahalanobis Distance Classification Criterion for Multidimensional Normal Distributions IEEE Transactions on Signal Processing, 2013 DOI:10.1109/TSP.2013.2269047

[26]	Hardware Acceleration of Background Modeling in the Compressed Domain IEEE Transactions on Information Forensics and Security, 2013 DOI:10.1109/TIFS.2013.2276753

[27]	GPU-based implementation of an optimized nonparametric background modeling for real-time moving object detection IEEE Transactions on Consumer Electronics, 2013 DOI:10.1109/TCE.2013.6531118

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