Results 61 to 70 of about 443,413 (287)

A Pseudoinverse Siamese Convolutional Neural Network of Transformation Invariance Feature Detection and Description for a SLAM System

open access: yesMachines, 2022
Simultaneous localization and mapping (SLAM) systems play an important role in the field of automated robotics and artificial intelligence. Feature detection and matching are crucial aspects affecting the overall accuracy of the SLAM system. However, the
Chaofeng Yuan   +4 more
doaj   +1 more source

Biophysical approaches for studying viral entry

open access: yesFEBS Letters, EarlyView.
Viruses infect all living organisms and have been responsible for major epidemics and pandemics. Their ongoing evolutionary battle with host defenses creates a constant need for improved tools to study viral behavior. Advancing methods to probe viral attachment, fusion, and genome release deepen our understanding of how infections begin and support the
Inbar Yosibash, Raya Sorkin
wiley   +1 more source

Infrared multi‐target detection and tracking in dense urban traffic scenes

open access: yesIET Image Processing
Infrared object detection and tracking in dense urban traffic remain a challenge due to factors such as low contrast, small intra‐class differences, and frequent false positives and negatives.
Chaoneng Zha, Suyun Luo, Xinhao Xu
doaj   +1 more source

A Novel Framework for Vehicle Detection and Tracking in Night Ware Surveillance Systems

open access: yesIEEE Access
In the field of traffic surveillance systems, where effective traffic management and safety are the primary concerns, vehicle detection and tracking play an important role.
Nouf Abdullah Almujally   +7 more
doaj   +1 more source

Multitarget Pedestrian Tracking Algorithm Based on a Contour Template with Multiscale Stability

open access: yesDiscrete Dynamics in Nature and Society, 2022
In order to overcome the problems of high error rate and poor tracking effect of traditional tracking algorithms, a multitarget pedestrian tracking algorithm based on a contour template is designed in this paper.
Hui Liu, Yingying Feng, Shigan Yu
doaj   +1 more source

Kalman Filtering and Bipartite Matching Based Super-Chained Tracker Model for Online Multi Object Tracking in Video Sequences

open access: yesApplied Sciences, 2022
Object tracking has gained importance in various applications especially in traffic monitoring, surveillance and security, people tracking, etc. Previous methods of multiobject tracking (MOT) carry out detections and perform object tracking. Although not
Shahzad Ahmad Qureshi   +6 more
doaj   +1 more source

Video analysis based vehicle detection and tracking using an MCMC sampling framework

open access: yes, 2012
This article presents a probabilistic method for vehicle detection and tracking through the analysis of monocular images obtained from a vehicle-mounted camera.
Arróspide Laborda, Jon   +2 more
core   +1 more source

EDNRB‐dependent endothelin signaling reduces proliferation and promotes proneural‐to‐mesenchymal transition in gliomas

open access: yesMolecular Oncology, EarlyView.
Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau   +36 more
wiley   +1 more source

Engineered extracellular vesicles enriched with the miR‐214/199a cluster enhance the efficacy of chemotherapy in ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang   +12 more
wiley   +1 more source

Multi-target personnel tracking algorithm for coal mine based on improved YOLOv7 and ByteTrack

open access: yesMeikuang Anquan
In order to solve the problems of low accuracy and poor real-time performance of existing target tracking algorithms in the complex environment of coal mines, a YOLO-FasterNet+ByteTrack coal mine personnel tracking algorithm was proposed based on the ...
Pengcheng QU, Jingzhao LI, Zechao LIU
doaj   +1 more source

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