Results 11 to 20 of about 17,012 (262)
Foreground Detection Using the Choquet Integral [PDF]
2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services, 2008 Foreground Detection is a key step in background subtraction problem. This approach consists in the detection of moving objects from static cameras through a classification process of pixels as foreground or background. The presence of some critical situations i.e noise, illumination changes and structural background changes produces an uncertainty in ...
Fida El Baf +2 more
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Fuzzy foreground detection for infrared videos [PDF]
2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008 We present a foreground detection algorithm based on a fuzzy integral that is particularly suitable for infrared videos. The proposed detection of moving objects is based on fusing intensity and textures using fuzzy integral. The detection results are then used to update the background in a fuzzy way. This method allows to robustly detect moving object
Fida El Baf +2 more
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Generation of Background Model Image Using Foreground Model
IEEE Access, 2021 Proper consideration of the temporal domain and the spatial domain is essential to perform robust foreground object detection in visual surveillance. However, there are difficulties in considering long-term temporal information with CNN-based methods. To
Jae-Yeul Kim, Jong-Eun Ha
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Foreground Detection Algorithm Based on Sum of Absolute Difference in Dynamic Scenes [PDF]
Jisuanji gongcheng, 2017 In order to reduce the high false alarm rate on foreground detection in dynamic scenes,this paper proposes an improved foreground detection algorithm,considering the high temporal redundancy of background images in the video sequence.Firstly,the Micro ...
LIU Min,ZHAO Dandan,WU Minghu,WANG Juan
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Background subtraction for night videos [PDF]
PeerJ Computer Science, 2021 Motion analysis is important in video surveillance systems and background subtraction is useful for moving object detection in such systems. However, most of the existing background subtraction methods do not work well for surveillance systems in the ...
Hongpeng Pan +3 more
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Foreground Detection with a Moving RGBD Camera [PDF]
, 2013 A method for foreground detection in data acquired by a moving RGBD camera is proposed. The background scene is initially in a reference model. An initial estimation of camera motion is provided by a conventional point cloud registration approach of matched keypoints between the captured scene and the reference model.
Panayotis Koutlemanis +3 more
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Bayesian background modeling for foreground detection [PDF]
Proceedings of the third ACM international workshop on Video surveillance & sensor networks, 2005 We propose a Bayesian learning method to capture the background statistics of a dynamic scene. We model each pixel as a set of layered normal distributions that compete with each other. Using a recursive Bayesian learning mechanism, we estimate not only the mean and variance but also the probability distribution of the mean and covariance of each model.
Fatih Porikli, Oncel Tuzel
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RGB-D Image Saliency Detection via Background and Foreground Fusion
Jisuanji kexue yu tansuo, 2020 RGB-D image saliency detection refers to the addition of depth information in traditional 2D images to extract significant objects. However, for current saliency detection models, most of them focus on the saliency objects themselves, but ignore the ...
ZHAO Qiang, WANG Aiping, LIU Zhengyi
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Reconstruction-Based Change Detection with Image Completion for a Free-Moving Camera
Sensors, 2018 Reconstruction-based change detection methods are robust for camera motion. The methods learn reconstruction of input images based on background images. Foreground regions are detected based on the magnitude of the difference between an input image and a
Tsubasa Minematsu +4 more
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Dynamic Mode Decomposition Based Video Shot Detection
IEEE Access, 2018 Shot detection is widely used in video semantic analysis, video scene segmentation, and video retrieval. However, this is still a challenging task, due to the weak boundary and a sudden change in brightness or foreground objects.
Chongke Bi +6 more
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