Results 1 to 10 of about 21,066 (308)
Foreground separation knowledge distillation for object detection [PDF]
PeerJ Computer ScienceIn recent years, deep learning models have become predominant methods for computer vision tasks, but the large computation and storage requirements of many models make them challenging to deploy on devices with limited resources.
Chao Li +4 more
doaj +6 more sources
Foreground Detection with Deeply Learned Multi-Scale Spatial-Temporal Features [PDF]
Sensors, 2018 Foreground detection, which extracts moving objects from videos, is an important and fundamental problem of video analysis. Classic methods often build background models based on some hand-craft features.
Yao Wang, Zujun Yu, Liqiang Zhu
doaj +2 more sources
Illumination and Reflectance Estimation with its Application in Foreground Detection [PDF]
Sensors, 2015 In this paper, we introduce a novel approach to estimate the illumination and reflectance of an image. The approach is based on illumination-reflectance model and wavelet theory.
Gang Jun Tu +3 more
doaj +2 more sources
Real-Time Object Tracking with Template Tracking and Foreground Detection Network [PDF]
Sensors, 2019 In this paper, we propose a fast and accurate deep network-based object tracking method, which combines feature representation, template tracking and foreground detection into a single framework for robust tracking.
Kaiheng Dai, Yuehuan Wang, Qiong Song
doaj +2 more sources
Statistical Modeling of Complex Backgrounds for Foreground Object Detection
IEEE Transactions on Image Processing, 2004 This paper addresses the problem of background modeling for foreground object detection in complex environments. A Bayesian framework that incorporates spectral, spatial, and temporal features to characterize the background appearance is proposed.
Liyuan Li, Irène Yu-Hua Gu
exaly +1 more source
Oriented Object Detection Based on Foreground Feature Enhancement in Remote Sensing Images
Remote Sensing, 2022 Oriented object detection is a fundamental and challenging task in remote sensing image analysis and has received much attention in recent years. Optical remote sensing images often have more complex background information than natural images, and the ...
Peng Lin, Xiaofeng Wu, Bin Wang
doaj +1 more source
Frontiers in Plant Science, 2022 Using a reliable and accurate method to phenotype disease incidence and severity is essential to unravel the complex genetic architecture of disease resistance in plants, and to develop disease resistant cultivars.
Ashlyn Rairdin +10 more
doaj +1 more source
Background Subtraction Combining l1/2 Norm and Saliency Constraint [PDF]
Jisuanji gongcheng, 2022 The conventional background subtraction model extracts the foreground more effectively when the background is static and the foreground object propagates rapidly.However, when the background is dynamic or the foreground object propagates slowly, the ...
ZHANG Guoting, CHEN Lixia, ZHOU Zefeng
doaj +1 more source
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
doaj +1 more source
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
doaj +2 more sources