Results 1 to 10 of about 2,384,089 (355)

KDE-Based Simultaneous Background Model Learning and Entropy-Based Fusion of Cascaded Features for Video Object Segmentation With Shadow Removal

open access: yesIEEE Access, 2023
Object detection with shadow removal is one of the challenging issues in computer vision. Dynamic shadow resembles a moving object’s properties, so separating this shadow from the object is a challenging task. This dynamic shadow if not eliminated,
Subhaluxmi Sahoo, Pradipta Kumar Nanda
doaj   +1 more source

FACE RECOGNITION WITH LOW FALSE POSITIVE ERROR RATE [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Nowadays face recognition systems are widely used in the world. In China these systems are used in safe cities projects in production, in Russia they are used mostly in closed-loop systems like factories, business centers with biometric access control or
N. U. Bagrov   +3 more
doaj   +1 more source

Adaptive Queue Management and Traffic Class Priority Based Fairness Rate Control in Wireless Sensor Networks

open access: yesIEEE Access, 2021
Congestion control in Wireless Sensor Networks (WSNs) is one of the key areas of research and different algorithms have been proposed using either of the notions of fair rate allocation, traffic class priority, and queue management. Use of the any one of
Subha Kanta Swain, Pradipta Kumar Nanda
doaj   +1 more source

Face anti-spoofing with joint spoofing medium detection and eye blinking analysis [PDF]

open access: yesКомпьютерная оптика, 2019
Modern biometric systems based on face recognition demonstrate high recognition quality, but they are vulnerable to face presentation attacks, such as photo or replay attack.
Mikhail Nikitin   +2 more
doaj   +1 more source

Cross-Depicted Historical Motif Categorization and Retrieval with Deep Learning

open access: yesJournal of Imaging, 2020
In this paper, we tackle the problem of categorizing and identifying cross-depicted historical motifs using recent deep learning techniques, with aim of developing a content-based image retrieval system. As cross-depiction, we understand the problem that
Vinaychandran Pondenkandath   +4 more
doaj   +1 more source

Video analytical coding: When video coding meets video analysis [PDF]

open access: yesSignal Processing: Image Communication, 2018
Leveraging on the properties of human visual system, most of the well-designed video coding standards utilize rate–distortion optimization techniques by maximizing a fidelity cost function (e.g., peak signal noise ratio, PSNR) under an available bit rate budget constrain.
Liu, Yuyang   +5 more
openaire   +2 more sources

Evaluating the Usefulness of the Modified Swimming Anaerobic Sprint Test (SAST) Based on the Relationship with the 100- and 200-m Freestyle

open access: yesApplied Sciences, 2022
The construction of specialized physiological tests for swimmers is often based on those previously used in versions on land. So far, no attempt has been made to adapt the RAST test to conditions of an aquatic environment.
Łukasz Wądrzyk   +2 more
doaj   +1 more source

Vehicle Re-identification Algorithm Based on Component Fusion Feature [PDF]

open access: yesJisuanji gongcheng, 2019
To address the re-identification problem of different individual vehicles with identical types,a new vehicle re-identification algorithm is proposed.According to the component detection algorithm,the window and the vehicle face region with large ...
Xiying LI, Zhihao ZHOU, Mingkai QIU
doaj   +1 more source

Vehicle Make and Model Recognition Based on LLC and Weighted SPM [PDF]

open access: yesJisuanji gongcheng, 2017
In order to enhance the robustness and the instantaneity of the traditional vehicle recognition algorithms,a fine vehicle make and model recognition algorithm is proposed by incorporating Locality-constrained Linear Coding(LLC) and the weighted Spatial ...
LI Xiying,YUAN Minxian,Lü Shuo,JIANG Qianyin
doaj   +1 more source

Surface Electromyography Spectral Parameters for the Study of Muscle Fatigue in Swimming

open access: yesFrontiers in Sports and Active Living, 2021
The purpose of this study was to assess validity, stability and sensitivity, of 4 spectral parameters–median frequency (Fmed), mean frequency (Fmean), Dimitrov index (DI), and mean instant frequency (Fmi)–in measuring localized muscle fatigue in swimming
Luca Puce   +15 more
doaj   +1 more source

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