Results 71 to 80 of about 65,144 (299)

Does Long‐Term Lower Extremity Strength Training in Adults With Knee Osteoarthritis and Varus Alignment Reduce Knee Joint Loading During Gait?

open access: yesArthritis Care &Research, EarlyView.
Objective We examined whether 18 months of strength training in individuals with knee varus alignment and medial tibiofemoral osteoarthritis (OA) reduced knee joint loads during walking compared to an attention control group. Methods This study was a secondary analysis of a randomized clinical trial that compared the effects of strength training to a ...
Stephen P. Messier   +12 more
wiley   +1 more source

SAVASA project @ TRECVID 2012: interactive surveillance event detection [PDF]

open access: yes, 2012
In this paper we describe our participation in the interactive surveillance event detection task at TRECVid 2012. The system we developed was comprised of individual classifiers brought together behind a simple video search interface that enabled users ...
Nieto, Marcos   +14 more
core  

Robust 3D-Mapping with Time-of-Flight Cameras

open access: yes, 2009
Time-of-Flight cameras constitute a smart and fast technology for 3D perception but lack in measurement precision and robustness. We present a comprehensive approach for 3D environment mapping based on this technology.
Holz, Dirk   +10 more
core   +1 more source

Carboxylic‐Acid Functionalized Multiwalled Carbon Nanotube‐Alkane‐Based Resistive Temperature Sensor for Cold Chain Applications

open access: yesAdvanced Engineering Materials, EarlyView.
This study presents a reversible temperature sensor with high switching ratio, ∼103. The device is fabricated using PET‐ITO and carbon nanotube dispersions in alkane. Considering its application in cold chain logistics, a proof‐of‐concept with LED is showcased. Thus, a temperature drop below the threshold temperature (crystallization temperature of the
Sunil Kumar Behera   +8 more
wiley   +1 more source

Bio-inspired looming object detection using event-based cameras [PDF]

open access: yes, 2019
We present a novel looming object detection method for event-based cameras. Event-based cameras capture a scene without generating redundant information thus reducing the needed transmission power, bandwidth, and computations to process the redundant ...
University of Lethbridge. Faculty of Arts and Science   +1 more
core  

Nighttime traffic object detection via adaptively integrating event and frame domains

open access: yesFundamental Research
Intelligent perception is crucial in Intelligent Transportation Systems (ITS), with vision cameras as critical components. However, traditional RGB cameras exhibit a significant decline in performance when capturing nighttime traffic scenes, limiting ...
Yu Jiang   +4 more
doaj   +1 more source

Event-Based Camera Modeling for Atmospheric Turbulence Prediction

open access: yesSensors
Atmospheric turbulence degrades long-range imaging and free-space optical performance, yet conventional measurement systems such as large-aperture scintillometers require active transmitters, precise alignment, and dedicated deployment. This study investigates whether a passive neuromorphic event camera can provide reliable estimates of the refractive ...
Dor Mizrahi   +3 more
openaire   +2 more sources

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

open access: yesAdvanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky   +5 more
wiley   +1 more source

Activity understanding and unusual event detection in surveillance videos

open access: yes, 2010
PhDComputer scientists have made ceaseless efforts to replicate cognitive video understanding abilities of human brains onto autonomous vision systems.
Loy, Chen Change
core  

Boosted kernelized correlation filters for event-based face detection

open access: yes, 2020
Recently, deep learning has revolutionized the computer vision field and has resulted in steep advances in the performance of vision systems for human detection and classification on large datasets. Nevertheless, these systems rely on static cameras that
Yang, Hong   +3 more
core   +1 more source

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