Results 61 to 70 of about 21,066 (308)

Multi-Level Foreground Prompt for Incremental Object Detection

open access: yesIEEE Access
In the study of incremental object detection, knowledge distillation and data replay are effective methods to mitigate catastrophic forgetting. However, current research on single-stage detectors is limited, single-stage detector outputs often contain ...
Jianwen Mo, Ronghua Zou, Hua Yuan
doaj   +1 more source

Automatic object detection based on adaptive background subtraction using symmetric alpha stable distribution [PDF]

open access: yes, 2008
Automatic detection of objects is critical to video tracking systems. One of the simplest techniques for detection is background subtraction (BS). BS refers to the process of segmenting moving regions from image sequences.
Bhaskar, H., Maskell, S., Mihaylova, L.
core  

Classifiers Combination for Improved Motion Segmentation

open access: yes, 2004
. Multiple classifiers have shown capability to improve performance in pattern recognition. This process can improve the overall accuracy of the system by using an optimal decision criteria.
Ahmad Al-Mazeed   +5 more
core   +1 more source

Reciprocal control of viral infection and phosphoinositide dynamics

open access: yesFEBS Letters, EarlyView.
Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley   +1 more source

Estimation of 3D Head Region using Gait Motion for Surveillance Video [PDF]

open access: yes, 2011
Detecting and recognizing people is important in surveillance. Many detection approaches use local information, such as pattern and colour, which can lead to constraints on application such as changes in illumination, low resolution, and camera view ...
M.S. Nixon   +3 more
core   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

open access: yesFEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho   +3 more
wiley   +1 more source

Visual Detail Augmented Mapping for Small Aerial Target Detection

open access: yesRemote Sensing, 2018
Moving target detection plays a primary and pivotal role in avionics visual analysis, which aims to completely and accurately detect moving objects from complex backgrounds. However, due to the relatively small sizes of targets in aerial video, many deep
Jing Li   +6 more
doaj   +1 more source

Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?

open access: yesFEBS Letters, EarlyView.
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes   +3 more
wiley   +1 more source

Foreground and Background Interaction Fusion Network for Camouflaged Object Detection

open access: yesJournal of Harbin University of Science and Technology
Aiming at the problem of incomplete detection results and blurred edge details in current camouflaged object detection (COD) methods, a novel Foreground and Background Interactive Fusion Network ( FBIFNet) was proposed to further improve the performance ...
WEI Mingjun, LIU Ming, LIU Yazhi, LI Hui
doaj   +1 more source

Global vision object detection using an improved Gaussian Mixture model based on contour [PDF]

open access: yesPeerJ Computer Science
Object detection plays an important role in the field of computer vision. The purpose of object detection is to identify the objects of interest in the image and determine their categories and positions.
Lei Sun
doaj   +2 more sources

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