Results 21 to 30 of about 111,250 (255)
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Background Subtraction Using Multiscale Fully Convolutional Network
IEEE Access, 2018 Background modeling and subtraction based on change detection are the first step in many high-level computer vision applications. Many background subtraction methods have been proposed in the recent past and their efforts mainly focus on two aspects ...
Dongdong Zeng, Ming Zhu
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Independent multimodal background subtraction [PDF]
, 2012 Background subtraction is a common method for detecting moving objects from static cameras able to achieve real-time performance. However, it is highly dependent on a good background model particularly to deal with dynamic scenes. In this paper a novel real-time algorithm for creating a robust and multimodal background model is presented.
BLOISI, Domenico Daniele, IOCCHI, Luca
openaire +1 more source
Background subtraction: separating the modeling and the inference [PDF]
Machine Vision and Applications, 2013 19 pages, 6 figures, Machine Vision and Applications ...
Manjunath Narayana +2 more
openaire +2 more sources