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Local Compact Binary Count based Nonparametric Background Modeling for Foreground Detection in Dynamic Scenes

Wei He, Yong K-wan Kim, Hak-Lim Ko, Jianhui Wu, Wujing Li, Bing Tu
2019 IEEE Access  
INDEX TERMS Foreground detection, nonparametric background modeling, local compact binary count, dynamic background, video signal processing.  ...  In this paper, we propose an effective background subtraction method to address these difficulties by combining color features with texture features in the ViBe framework.  ...  However, it cannot efficiently handle dynamic backgrounds and noise since it uses only color values of pixels to create background models.  ... 
doi:10.1109/access.2019.2927745 fatcat:jutjchnlknce7biqs2bibbvbsq

Spatio-temporal Center-symmetric Local Derivative Patterns for Objects Detection in Video Surveillance

Marwa Jmal, Wided Souidene, Rabah Attia
2016 Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications  
We benefit from the advantages of local binary patterns variants to introduce a novel spatiotemporal center-symmetric local derivative patterns (STCS-LDP).  ...  We also present a simple background subtraction algorithm which is based on our STCS-LDP descriptor.  ...  Lately, Local Binary Pattern (LBP) (Ojala et al., 2002 ) was adapted to the task of background subtraction.  ... 
doi:10.5220/0005787702150220 dblp:conf/visapp/JmalSA16 fatcat:53y245julnc6pntjawxbxrnxny

A Robust Local Binary Similarity Pattern for Foreground Object Detection [article]

Dongdong Zeng, Ming Zhu, Hang Yang
2018 arXiv   pre-print
First, we propose a robust texture operator named Robust Local Binary Similarity Pattern (RLBSP), which shows strong robustness to illumination variations and dynamic backgrounds.  ...  Second, a combination of color and texture features are used to characterize pixel representations, which compensate each other to make full use of their own advantages.  ...  Robust Local Binary Similarity Pattern: Binary feature operators are popularly employed in background subtraction area due to their low complexity, discriminative and illumination invariance.  ... 
arXiv:1810.06797v2 fatcat:7fycwg7v3rdktkahrsf4sur2gm

Change Detection in Feature Space Using Local Binary Similarity Patterns

Guillaume-Alexandre Bilodeau, Jean-Philippe Jodoin, Nicolas Saunier
2013 2013 International Conference on Computer and Robot Vision  
We thus propose to perform background subtraction with a small binary descriptor that we named Local Binary Similarity Patterns (LBSP).  ...  In general, the problem of change detection is studied in color space. Most proposed methods aim at dynamically finding the best color thresholds to detect moving objects against a background model.  ...  Notably, local binary patterns (LBP) were used by Heikkila et al [21] , and census-like patterns were used by Nonaka et al [22] .  ... 
doi:10.1109/crv.2013.29 dblp:conf/crv/BilodeauJS13 fatcat:7x4757nfpjhqdlqos2wmfsovdy

Soccer Players Detection Using GDLS Optimization and Spatial Bitwise Operation Filter

Adhi Dharma Wibawa, Atyanta Nika Rumaksari
2019 Journal of Data Science and Its Applications  
Background subtraction is an object's detection method that used widely for separating moving object as foreground and non moving object as background.  ...  Finally, our experimental result demonstrated that our algorithm outperform conventional background subtraction algorithms.  ...  In other word, traditional background subtraction by using equation-(4) was proven successfully for separating background from dynamic foreground.  ... 
doi:10.21108/jdsa.2019.2.18 fatcat:pe2akau3qnhghodj6477mjoxqi

HFR Projector Camera Based Visible Light Communication System for Real-Time Video Streaming

Atul Sharma, Sushil Raut, Kohei Shimasaki, Taku Senoo, Idaku Ishii
2020 Sensors  
input video sequence into binary image patterns modulated at thousands of frames per second and an HFR vision system can capture and decode these binary patterns into the input color video sequence with  ...  For maximum utilization of the high-throughput transmission ability of the HFR projector, we introduce a projector-camera VLC protocol, wherein a multi-level color video sequence is binary-modulated with  ...  subtraction, we used plain and patterned backgrounds as the projection screens.  ... 
doi:10.3390/s20185368 pmid:32961714 pmcid:PMC7570572 fatcat:j2vgsgl3jjeqlmvumcrlxrwala

Background Subtraction Using Local SVD Binary Pattern

Lili Guo, Dan Xu, Zhenping Qiang
2016 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
To solve this problem, we propose an adaptive background subtraction model which uses a novel Local SVD Binary Pattern (named LSBP) feature instead of simply depending on color intensity.  ...  Most background subtraction methods rely on color and texture feature.  ...  For introducing the spatial information, a classic method [7] use local binary pattern(LBP) descriptors to handle illumination variation and nosie.  ... 
doi:10.1109/cvprw.2016.148 dblp:conf/cvpr/GuoXQ16 fatcat:r7cmnecrkrboneloaq25qemany

Sensor Selection and Integration to Improve Video Segmentation in Complex Environments

Adam R. Reckley, Wei-Wen Hsu, Chung-Hao Chen, Gangfeng Ma, E-Wen Huang
2014 Mathematical Problems in Engineering  
subtraction is often considered to be a required stage of any video surveillance system being used to detect objects in a single frame and/or track objects across multiple frames in a video sequence.  ...  Most current state-of-the-art techniques for object detection and tracking utilize some form of background subtraction that involves developing a model of the background at a pixel, region, or frame level  ...  Recall that Gaussian mixture models could perform well on dynamic background with only slowly moving background objects. Local Binary Pattern Background Subtraction.  ... 
doi:10.1155/2014/654790 fatcat:fjfdm6a4enexpagsqx7qkfdy5e

Robust Background Subtraction via the Local Similarity Statistical Descriptor

Dongdong Zeng, Ming Zhu, Tongxue Zhou, Fang Xu, Hang Yang
2017 Applied Sciences  
Many background subtraction methods have been proposed to detect foreground objects through background modeling.  ...  The LSSD descriptor shows good performance in illumination variation and dynamic background scenes.  ...  [26] performed the background subtraction by integrating the color features and the Local Binary Similarity Pattern (LBSP) features, and showed state-of-the-art performance.  ... 
doi:10.3390/app7100989 fatcat:ax3pc2m7erdxhe3tu35h6hogfi

Background Subtraction Based on a New Fuzzy Mixture of Gaussians for Moving Object Detection

Ali Darwich, Pierre-Alexandre Hébert, André Bigand, Yasser Mohanna
2018 Journal of Imaging  
Background subtraction is a very popular approach, but it is difficult to apply given that it must overcome many obstacles, such as dynamic background changes, lighting variations, occlusions, and so on  ...  In the presented work, we focus on this problem (foreground/background segmentation), using a type-2 fuzzy modeling to manage the uncertainty of the video process and of the data.  ...  The experiments were carried out using the CALCULCO computing platform, supported by SCoSI/ULCO (Univ.  ... 
doi:10.3390/jimaging4070092 fatcat:c3dvgdaa3zfpxghkr52oj7c5he

Detection of Moving Objects with Fuzzy Color Coherence Vector

Yu-Long Qiao, Kai-Long Yuan, Chun-Yan Song, Xue-Zhi Xiang
2014 Mathematical Problems in Engineering  
In this paper, we introduce a fuzzy color coherence vector (FCCV) based background subtraction method.  ...  Color coherence vector (CCV) includes both the color distribution information (histogram) and the local spatial relationship information of colors.  ...  [8] proposed the spatiotemporal local binary pattern (STLBP) to model dynamic textures.  ... 
doi:10.1155/2014/138065 fatcat:vnct3eleyvaobo7i6wp7lgaxnq

Dynamic background subtraction based on spatial extended center-symmetric local binary pattern

Gengjian Xue, Jun Sun, Li Song
2010 2010 IEEE International Conference on Multimedia and Expo  
In this paper, a novel operator named spatial extended center-symmetric local binary pattern (SCS-LBP) for background modeling is proposed.  ...  It extracts spatial and temporal information simultaneously while has low complexity compared to the local binary pattern (LBP) operator.  ...  Center-symmetric local binary pattern (CS-LBP) which was first used for matching and object category classification [8] is an effective extension to LBP.  ... 
doi:10.1109/icme.2010.5582601 dblp:conf/icmcs/XueSS10 fatcat:tdqtwdfkerb55e2v5vxlvmsb3e

Improving background subtraction using Local Binary Similarity Patterns

Pierre-Luc St-Charles, Guillaume-Alexandre Bilodeau
2014 IEEE Winter Conference on Applications of Computer Vision  
In this paper, we present an adaptive background subtraction method, derived from the low-cost and highly efficient ViBe method, which uses a spatiotemporal binary similarity descriptor instead of simply  ...  Most of the recently published background subtraction methods can still be classified as pixel-based, as most of their analysis is still only done using pixel-by-pixel comparisons.  ...  As for the use of local binary patterns and their derivatives in background subtraction, the work of Heikkilä and Pietikäinen in [8] introduces one of the first examples of reliable and efficient texture-based  ... 
doi:10.1109/wacv.2014.6836059 dblp:conf/wacv/St-CharlesB14 fatcat:2fjpzjm5rrgc5ddhjjyxujfokm

Smoke Object Segmentation and the Dynamic Growth Feature Model for Video-Based Smoke Detection Systems

Md Rashedul Islam, Md Amiruzzaman, Shahriar Nasim, Jungpil Shin
2020 Symmetry  
In this model, smoke is segmented from the multi-moving object on the complex background using the Gaussian's Mixture Model (GMM) and HSV (hue-saturation-value) color segmentation to encounter the candidate  ...  Without considering the multiple moving objects on background and smoke particles analysis (i.e., pattern recognition), smoke detection models show suboptimal performance.  ...  Acknowledgments: First, we would like to thanks to Pattern Processing Lab, University of Aizu, Japan for giving us the opportunity to do this research.  ... 
doi:10.3390/sym12071075 fatcat:6adzkcuo5vbfvgwg53rqtvj56i

An eXtended Center-Symmetric Local Binary Pattern for Background Modeling and Subtraction in Videos

Caroline Silva, Thierry Bouwmans, Carl Frélicot
2015 Proceedings of the 10th International Conference on Computer Vision Theory and Applications  
In this paper, we propose an eXtended Center-Symmetric Local Binary Pattern (XCS-LBP) descriptor for background modeling and subtraction in videos.  ...  competitors for the background subtraction task.  ...  Zhou et al. (2011) develop a Spatial-Color Binary Pattern (SCBP) that fuse color and texture information. The SCBP outperforms LBP and SCS-LBP for background subtraction tasks.  ... 
doi:10.5220/0005266303950402 dblp:conf/visapp/SilvaBF15 fatcat:xofolbgdeveetbrclx6ysbz7ou
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