Results 51 to 60 of about 5,613,581 (365)
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
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
core +1 more source
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 with Dirichlet Processes [PDF]
, 2012 Background subtraction is an important first step for video analysis, where it is used to discover the objects of interest for further processing. Such an algorithm often consists of a background model and a regularisation scheme. The background model determines a per-pixel measure of if a pixel belongs to the background or the foreground, whilst the ...
Fincham Haines, Tom, Xiang, Tao
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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
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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 with DirichletProcess Mixture Models [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014 Video analysis often begins with background subtraction. This problem is often approached in two steps-a background model followed by a regularisation scheme. A model of the background allows it to be distinguished on a per-pixel basis from the foreground, whilst the regularisation combines information from adjacent pixels.
Haines, TSF, Xiang, T
openaire +4 more sources
ViBe: A Universal Background Subtraction Algorithm for Video Sequences
IEEE Transactions on Image Processing, 2011 This paper presents a technique for motion detection that incorporates several innovative mechanisms. For example, our proposed technique stores, for each pixel, a set of values taken in the past at the same location or in the neighborhood.
Olivier Barnich, Marc Van Droogenbroeck
semanticscholar +1 more source
An Effective Subsuperpixel-Based Approach for Background Subtraction
IEEE transactions on industrial electronics (1982. Print), 2020 How to achieve competitive accuracy and less computation time simultaneously for background estimation is still an intractable task. In this paper, an effective background subtraction approach for video sequences is proposed based on a subsuperpixel ...
Yu-Qiu Chen, Zhan-Li Sun, K. Lam
semanticscholar +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
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