Results 21 to 30 of about 355,809 (276)
Locally Statistical Dual-Mode Background Subtraction Approach
IEEE Access, 2019 Due to the variety of background model in the real world, detecting changes in a video cannot be addressed exhaustively by a simple background subtraction method, especially with several motion detection challenges, such as dynamic background, camera ...
Thien Huynh-The +3 more
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Data in Brief, 2020 This dataset consists of video files that were created to test the accuracy of background segmentation algorithms contained in the C++ wrapper ‘BGSLibrary’ v3.0.0 developed by Andrews Sobral.
Seng Cheong Loke +3 more
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Background Subtraction With Real-Time Semantic Segmentation
IEEE Access, 2019 Accurate and fast foreground (FG) object extraction is very important for object tracking and recognition in video surveillance. Although many background subtraction (BGS) methods have been proposed in the recent past, it is still regarded as a tough ...
Dongdong Zeng +4 more
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Background Subtraction Uncertainty from Submillimetre to Millimetre Wavelengths [PDF]
, 2014 Photometric observations of galaxies at submillimetre to millimetre wavelengths (50 - 1000 GHz) are susceptible to spatial variations in both the background CMB temperature and CIB emission that can be comparable to the flux from the target galaxy.
Ferraro, Simone, Hensley, Brandon
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A Novel Interest-Point-Based Background Subtraction Algorithm
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2014 Current Back-Ground Subtraction (BGS) algorithms are pixel-based methods. We propose an Interest-Point(IP)-based BGS algorithm applicable in IP-based Computer Vision application.
Alireza Dehghani, Alistair Sutherland
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Universal Multimode Background Subtraction
IEEE Transactions on Image Processing, 2017 In this paper, we present a complete change detection system named multimode background subtraction. The universal nature of system allows it to robustly handle multitude of challenges associated with video change detection, such as illumination changes, dynamic background, camera jitter, and moving camera.
Hasan Sajid, Sen-Ching Samson Cheung
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A block-based background model for moving object detection
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2017 Detecting the moving objects in a video sequence using a stationary camera is an important task for many computer vision applications. This paper proposes a background subtraction approach.
Omar Elharrouss +4 more
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Background Subtraction for Time of Flight Imaging
Journal of Computer Science and Technology, 2017 A time of flight camera provides two types of images simultaneously, depth and intensity. In this paper a computational method for background subtraction, combining both images or fast sequences of images, is proposed.
Javier Giacomantone +2 more
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Algorithms, 2019 Background subtraction plays a fundamental role for anomaly detection in video surveillance, which is able to tell where moving objects are in the video scene.
Tianming Yu, Jianhua Yang, Wei Lu
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Compute-Extensive Background Subtraction for Efficient Ghost Suppression
IEEE Access, 2019 Efficient background modelling has always been an active area of research due to its immense importance as a preliminary step in various machine-vision applications.
Rimjhim Padam Singh +2 more
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