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261
Vision-Based Structural Monitoring: Application to a Medium-Span Post-Tensioned Concrete Bridge under Vehicular Traffic
Published 2023-10-01“…Video processing for structural monitoring has attracted much attention in recent years thanks to the possibility of measuring displacement time histories in the absence of stationary points close to the structure, using hardware that is simple to operate and with accessible costs. …”
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262
A Multiview Recognition Method of Predefined Objects for Robot Assembly Using Deep Learning and Its Implementation on an FPGA
Published 2022-02-01“…The presented embedded system meets the criteria of real-time video processing and it is suitable as an enhancement for the hand of a robotic arm in an intelligent manufacturing cell.…”
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263
Outdoor Navigation Assistive System Based on Robust and Real-Time Visual–Auditory Substitution Approach
Published 2023-12-01“…This method achieves low latency and real-time processing without relying on remote connections, instead using a low-power embedded GPU target and a multithreaded approach for video processing, sound generation, and acquisition. This system could significantly improve the quality of life and autonomy of blind people, allowing them to reliably and efficiently navigate in their environment.…”
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264
Registering Unmanned Aerial Vehicle Videos in the Long Term
Published 2021-01-01“…To counteract the effects of an inconsistent viewpoint, two video processing strategies are classically adopted, namely registration and stabilization, which tend to be affected by distinct issues, namely jitter and drifting. …”
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265
Source Camera Identification with a Robust Device Fingerprint: Evolution from Image-Based to Video-Based Approaches
Published 2023-08-01“…While effective techniques exist for identifying the source camera of images, video-based source identification presents unique challenges due to disruptive effects introduced during video processing, such as compression artifacts and pixel misalignment caused by techniques like video coding and stabilization. …”
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266
Manifolds-Based Low-Rank Dictionary Pair Learning for Efficient Set-Based Video Recognition
Published 2023-05-01“…As an important research direction in image and video processing, set-based video recognition requires speed and accuracy. …”
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267
OpenCNN: A Winograd Minimal Filtering Algorithm Implementation in CUDA
Published 2021-08-01“…Improving the performance of the convolution operation has become a key target for High Performance Computing (HPC) developers due to its prevalence in deep learning applied mainly to video processing. The improvement is being pushed by algorithmic and implementation innovations. …”
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268
Face anti‐spoofing from the perspective of data sampling
Published 2023-01-01“…To mitigate these issues, this paper provides a data sampling approach by proposing a video processing scheme that models the long‐range temporal variations based on Gaussian weighting function (GWF). …”
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269
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270
Finger-Gesture Recognition for Visible Light Communication Systems Using Machine Learning
Published 2021-12-01“…However, the common techniques to realize gesture recognition using video processing are computationally intensive and expensive. …”
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271
Vehicles Speed Estimation Model from Video Streams for Automatic Traffic Flow Analysis Systems
Published 2023“…Image and video processing have been widely used to provide traffic parameters, which will be used to improve certain areas of traffic operations. …”
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272
Vehicles Speed Estimation Model from Video Streams for Automatic Traffic Flow Analysis Systems
Published 2023“…Image and video processing have been widely used to provide traffic parameters, which will be used to improve certain areas of traffic operations. …”
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273
Vehicles Speed Estimation Model from Video Streams for Automatic Traffic Flow Analysis Systems
Published 2023“…Image and video processing have been widely used to provide traffic parameters, which will be used to improve certain areas of traffic operations. …”
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274
Hardware acceleration of 2D convolution using systolic array
Published 2015“…Two-dimensional convolution is a prevalent mathematical operation used in different areas of digital signal processing such as image processing, video processing and analog signal transmission. The computation intensive nature of 2D convolution operation along with the stringent demand of real-time image processing in term of response time and throughput rate dismiss the viability of general-purpose processor to be used as part of the image processing solutions. …”
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275
Online video-based abnormal detection using highly motion techniques and statistical measures
Published 2019“…In this study, we propose a new framework, which achieves the balancing between detection accuracy and video processing time by employing two efficient motion techniques, specifically, foreground and optical flow energy. …”
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276
Human motion analysis in dark surrounding using line skeleton scalable model and vector angle technique
Published 2019“…Detecting human existence in video streams is a fundamental task in many video processing applications. It is considered as one of the most challenging task that has attracted researchers’ attentions in various fields. …”
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277
Objective Video Quality Assessment and Ground Truth Coordinates for Automatic License Plate Recognition
Published 2023-11-01“…In the realm of modern video processing systems, traditional metrics such as the Peak Signal-to-Noise Ratio and Structural Similarity are often insufficient for evaluating videos intended for recognition tasks, like object or license plate recognition. …”
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278
A Real-Time Safety-Based Optimal Velocity Model
Published 2022-01-01“…First, we extract vehicle trajectory data from roadside traffic footage through our advanced video processing algorithm (VT-Lane) for a study site in Blacksburg, VA, USA. …”
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279
The Detection of Video Shot Transitions Based on Primary Segments Using the Adaptive Threshold of Colour-Based Histogram Differences and Candidate Segments Using the SURF Feature D...
Published 2022-09-01“…Video shot segmentation is the basic symmetry step underlying video processing techniques such as video indexing, content-based video retrieval, video summarization, and intelligent surveillance. …”
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280
Prediction of Human Activities Based on a New Structure of Skeleton Features and Deep Learning Model
Published 2020-09-01“…The advanced enhancement and success of deep learning techniques in various computer vision applications encourage the use of these methods in video processing. The human presentation is an important challenge in the analysis of human behavior through activity. …”
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