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Yurika Permanasari, Budi Nurani Ruchjana, Setiawan Hadi and Juli Rejito
Object identification is a part of the field of computer science, namely, image processing, whose research continues to innovate. Object identification describes an object based on the main characteristics of the object. Many research innovations related...
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Christine Dewi, Danny Manongga, Hendry, Evangs Mailoa and Kristoko Dwi Hartomo
Face mask detection is a technological application that employs computer vision methodologies to ascertain the presence or absence of a face mask on an individual depicted in an image or video. This technology gained significant attention and adoption du...
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Huizhong Xiong, Xiaotong Gao, Ningyi Zhang, Haoxiong He, Weidong Tang, Yingqiu Yang, Yuqian Chen, Yang Jiao, Yihong Song and Shuo Yan
A novel deep learning model, DiffuCNN, is introduced in this paper, specifically designed for counting tobacco lesions in complex agricultural settings. By integrating advanced image processing techniques with deep learning methodologies, the model signi...
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Mariolino De Cecco, Alessandro Luchetti, Isidro Butaslac III, Francesco Pilla, Giovanni Maria Achille Guandalini, Jacopo Bonavita, Monica Mazzucato and Kato Hirokazu
In rehabilitation settings that exploit Mixed Reality, a clinician risks losing empathy with the patient by being immersed in different worlds, either real and/or virtual. While the patient perceives the rehabilitation stimuli in a mixed real?virtual wor...
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Stefan Hensel, Marin B. Marinov and Raphael Panter
In recent years, the advancement of micro-aerial vehicles has been rapid, leading to their widespread utilization across various domains due to their adaptability and efficiency. This research paper focuses on the development of a camera-based tracking s...
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Diogo Mendes, Simão Correia, Pedro Jorge, Tomás Brandão, Patrícia Arriaga and Luís Nunes
This study presents a trajectory-based person re-identification algorithm, embedded in a tool to detect and track customers present in a large retail store, in a multi-camera environment. The customer trajectory data are obtained from video surveillance ...
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Alexander Konoplin, Alexander Yurmanov, Nikita Krasavin and Pavel Piatavin
This article considers an approach to synthesizing a multilevel system to control movements of a multilink manipulator (MM) mounted on an unmanned underwater vehicle (UUV) for performing autonomous manipulative operations in the mode of dynamic positioni...
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Brahim Jabir,Noureddine Falih,Khalid Rahmani
Pág. pp. 165 - 184
In agriculture, weeds cause direct damage to the crop, and it primarily affects the crop yield potential. Manual and mechanical weeding methods consume a lot of energy and time and do not give efficient results. Chemical weed control is still the best wa...
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Qingge Ji, Haoqiang Yu and Xiao Wu
Based on tracking-by-detection, we propose a hierarchical-matching-based online and real-time multi-object tracking approach with deep appearance features, which can effectively reduce the false positives (FP) in tracking. For the purpose of increasing t...
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Gábor Kertész
Image based instance recognition is a difficult problem, in some cases even for the human eye. While latest developments in computer vision?mostly driven by deep learning?have shown that high performance models for classification or categorization can be...
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Mikulá? Huba, Mária Hypiusová, Peter Tapák and Damir Vrancic
The paper deals with learning objects for introductory modeling of simple dynamical systems and design of controllers with disturbance observer-based integral action. They can be used to illustrate the design process of state controllers, state and distu...
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Qianxiao Wei, Canjun Yang, Wu Fan and Yibing Zhao
Currently, a mechanical arm or manipulator needs to be programmed by humans in advance to define its motion trajectory before practical use. However, the programming is tedious and high-cost, which renders such manipulators unable to perform various diff...
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Ali J. Ghandour and Abedelkarim A. Jezzini
Automated building extraction from high-resolution satellite imagery is a challenging research problem, and several issues remain with respect to the variety of variables to be accounted for. In this paper we present an approach for building detection us...
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Ali J. Ghandour and Abedelkarim A. Jezzini
Automated building extraction from high-resolution satellite imagery is a challenging research problem, and several issues remain with respect to the variety of variables to be accounted for. In this paper we present an approach for building detection us...
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Konstantinos Ioannou
The detection of possible areas for the application of agroforestry is essential and involves the usage of various technics. The recognition of forest types using satellite or aerial imagery is the first step toward this goal. This is a tedious task invo...
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N. V. Borisov,V. V. Zakharkina,I. A. Mbogo,D. E. Prokudin,P. P. Shcherbakov
Pág. 115 - 127
The development of information and communication technologies has led to the emergence of digital cultural forms, which are cultural heritage as well as traditional objects of cultural heritage. At the same time, modern trends in the development of cultu...
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Junpeng Wu and Yibo Zhou
To address the issue of low accuracy in insulator object detection within power systems due to a scarcity of image sample data, this paper proposes a method for identifying insulator objects based on improved few-shot object detection through feature rew...
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Ke Zhang, Sarvesh Maskey, Hiromu Okazawa, Kiichiro Hayashi, Tamano Hayashi, Ayako Sekiyama, Sawahiko Shimada and Lameck Fiwa
Identification and monitoring of diverse resources or wastes on the ground is important for integrated resource management. The unmanned aerial vehicle (UAV), with its high resolution and facility, is the optimal tool for monitoring ground objects accura...
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Roxana-Elena Mihaescu, Mihai Chindea, Constantin Paleologu, Serban Carata and Marian Ghenescu
Solving the person re-identification problem involves making associations between the same person?s appearances across disjoint camera views. Further, those associations have to be made on multiple surveillance cameras in order to obtain a more efficient...
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Ladislav Karrach, Elena Pivarciová and Pavol Bozek
Mobile robot navigation, automatic object identification and tracking.
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