Výsledky vyhledávání - "object detection algorithms"

RPEE-Heads Benchmark: A Dataset and Empirical Comparison of Deep Learning Algorithms for Pedestrian Head Detection in Crowds

Autoři: Mohamad Abubaker Zubayda Alsadder Hamed Abdelhaq a další

Zdroj: IEEE Access, Vol 13, Pp 73451-73467 (2025)

Témata: machine learning, you only look once, deep learning, Computer vision, real-time detection transformer, Electrical engineering. Electronics. Nuclear engineering, object detection algorithms, TK1-9971

Přístupová URL adresa: https://doaj.org/article/6a97eca606fc4b5aae3701d35175c451

Collision avoidance in pedestrian-rich environments using deep learning

Autoři: Bouchamla, Hanene Boumaiza, Zied Ben Mabrouk, Walid a další

Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Témata: Artificial intelligence, Object detection algorithms, Safety problems, neural network, Object detection, autonomous vehicle, Autonomous vehicles, Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial, deep learning, Deep learning, Autonomous pedestrians, transfer learning, Learning algorithms, Roads and streets, Collisions avoidance, Transfer learning, Motor transportation, Accidents, Neural-networks, Road safety, Pedestrian safety, road safety, Learning approach

Popis souboru: application/pdf

Přístupová URL adresa: https://hdl.handle.net/2117/426587
https://doi.org/10.1109/iccad60883.2024.10553961

Research progress in globular fruit picking recognition algorithm based on deep learning

Autoři: LI Hui ZHANG Jun YU Shuochen a další

Zdroj: Guoshu xuebao, Vol 42, Iss 2, Pp 412-426 (2025)

Témata: fruit picking, object detection algorithms, deep learning, convolutional neural networks, computer vision, Botany, QK1-989, Agriculture

Popis souboru: electronic resource

Relation: http://fruitsci.zzgss.cn/english/upload/down/month_2502/250220250214.pdf; https://doaj.org/toc/1009-9980

Přístupová URL adresa: https://doaj.org/article/b369502faacc45c19683524ba1880736

APF-YOLOV8: Enhancing Multiscale Detection and Intra-Class Variance Handling for UAV-Based Insulator Power Line Inspections [version 2; peer review: 2 approved]

Autoři: Hicham Medromi Badr-Eddine Benelmostafa Rita Aitelhaj

Zdroj: F1000Research, Vol 14 (2025)

Témata: UAV Power Line Inspection, Automated Insulator identification, Real time Object detection algorithms, Improved YOLOV8, Multi-scale Object size Challenge, Intra-Class Invariance, eng, Medicine, Science

Popis souboru: electronic resource

Relation: https://f1000research.com/articles/14-141/v2; https://doaj.org/toc/2046-1402

Přístupová URL adresa: https://doaj.org/article/5e412eaed2f94c8abb7d7efa4ec0f8a0

Comparison of the efficiency of different computer vision models for the automated parking control system ; Порівняння ефективності застосування моделей комп'ютерного зору для автоматизованої системи контролю паркування

Autoři: Батюк, А. Є. Опалінський, І. Ю.

Zdroj: Scientific Bulletin of UNFU; Том 35 № 1 (2025): Науковий вісник НЛТУ України; 119-126 ; Научный вестник НЛТУ Украины; Том 35 № 1 (2025): Науковий вісник НЛТУ України; 119-126 ; Scientific Bulletin of UNFU; Vol 35 No 1 (2025): Scientific Bulletin of UNFU; 119-126 ; 2519-2477 ; 1994-7836 ; 10.36930/403501

Témata: neural networks, automated control, image recognition methods, deep learning, object detection algorithms, video processing speed, model improvement, нейронні мережі, автоматизований контроль, методи розпізнавання зображень, глибоке навчання, алгоритми виявлення об'єктів, швидкість оброблення відеоданих, удосконалення моделей

Popis souboru: application/pdf

Relation: https://nv.nltu.edu.ua/index.php/journal/article/view/2718/2721; https://nv.nltu.edu.ua/index.php/journal/article/view/2718

Dostupnost: https://nv.nltu.edu.ua/index.php/journal/article/view/2718
https://doi.org/10.36930/40350115

Target image detection algorithm of complex road scene based on improved multi-scale adaptive feature fusion technology

Autoři: Xu Zhaosheng Liao Zhongming Xiao Xiaoyong a další

Zdroj: International Journal for Simulation and Multidisciplinary Design Optimization, Vol 16, p 6 (2025)

Témata: target image detection, complex road scenes, multi-scale adaptive feature fusion, real-time traffic information, object detection algorithms, urban traffic datasets, panoramic video images, Industrial engineering. Management engineering, T55.4-60.8, Industrial directories, T11.95-12.5

Relation: https://www.ijsmdo.org/articles/smdo/full_html/2025/01/smdo240174/smdo240174.html; https://doaj.org/toc/1779-6288; https://doaj.org/article/83979c8624ce456687d182bb2628864e

Dostupnost: https://doi.org/10.1051/smdo/2025004
https://doaj.org/article/83979c8624ce456687d182bb2628864e

ConstScene: A Dataset and Model for Advancing Robust Semantic Segmentation in Construction Environment

Autoři: Salimi, Maghsood Loni, Mohammad Afshar, Sara a další

Zdroj: Pattern Recognition and Artificial Intelligence Lecture Notes in Computer Science. :242-253

Témata: Adversarial Attacks, Construction Environment, Dataset, Robust Object Detection, Semantic Segmentation, Adversarial machine learning, Camera lenses, Image annotation, Adverse weather, Autonomous machines, Condition, Construction sites, Environmental conditions, Object detection algorithms

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-70418

Application of convolutional neural networks in object detection, re-identification and recognition

Autoři: Aburasain, Rua

Témata: 006.3, Drones, Convolutional Neural Networks Imaging, object detection algorithms, Person re-identification, Unmanned arial Vehicle

Přístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.816233

An artificial intelligence approach to smart exam supervision using YOLOv5 and siamese network

Autoři: I. Zanoon, Nabeel A. Alhaj, Abdullah Alkharabsheh, Khalid a další

Přispěvatelé: I. Zanoon, Nabeel A. Alhaj, Abdullah Alkharabsheh, Khalid a další

Zdroj: IAES International Journal of Artificial Intelligence (IJ-AI); Vol 13, No 4: December 2024; 3920-3929 ; 2252-8938 ; 2089-4872 ; 10.11591/ijai.v13.i4

Témata: artificial intelligence, image processing, Object detection algorithms, Artificial intelligence, Exam supervision, Object detection, Siamese network, YOLOv5

Popis souboru: application/pdf

Relation: https://ijai.iaescore.com/index.php/IJAI/article/view/24264/14203; https://ijai.iaescore.com/index.php/IJAI/article/downloadSuppFile/24264/3380; https://ijai.iaescore.com/index.php/IJAI/article/view/24264

Dostupnost: https://ijai.iaescore.com/index.php/IJAI/article/view/24264
https://doi.org/10.11591/ijai.v13.i4.pp3920-3929

Deep Learning Algorithm Training and Performance Analysis for Corridor Monitoring

Autoři: Jung, Woo-Jin Choi, Won-Hyuck

Zdroj: International Journal of Intelligent Systems and Applications in Engineering; Vol. 12 No. 9s (2024); 452-456

Témata: YOLO, Advanced Air Mobility, Object Detection Algorithms, Urban Air Mobility

Popis souboru: application/pdf

Přístupová URL adresa: https://www.ijisae.org/index.php/IJISAE/article/view/4339

Development and Evaluation of a System for Detecting Barcodes and QR Codes using YOLO11: A Comparative Study of Accuracy and Efficiency

Autoři: Redolar Soldado, Sergio Ivorra Martínez, Eugenio Departamento de Ingeniería de Sistemas y Automática a další

Přispěvatelé: Redolar Soldado, Sergio Ivorra Martínez, Eugenio Departamento de Ingeniería de Sistemas y Automática a další

Zdroj: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Universitat Politècnica de València (UPV)

Témata: Object detection algorithms, Detecció de codis de barres, Computer Vision, Detecció de codis QR, Decoding libraries, Algoritmos de detección de objetos, Barcode Detection, Detección de códigos QR, Llibreries de decodificació, YOLO11, Visió per computador, Detección de códigos de barras, Librerías de decodificación, Visión por computador, Grado en Ingeniería Electrónica Industrial y Automática-Grau en Enginyeria Electrònica Industrial i Automàtica, QR Code Detection, Algoritmes de detecció d'objectes

Popis souboru: application/pdf

Přístupová URL adresa: https://riunet.upv.es/handle/10251/223187

Novel Robotic Arm Working-Area AI Protection System

Autoři: Jeng-Dao Lee En-Shuo Jheng Chia-Chen Kuo a další

Zdroj: Sensors, Vol 23, Iss 5, p 2765 (2023)

Témata: robotic arm, AI protection system, YOLO, object detection algorithms, working safety, Chemical technology, TP1-1185

Relation: https://www.mdpi.com/1424-8220/23/5/2765; https://doaj.org/toc/1424-8220; https://doaj.org/article/e5c37d0a3c554a3f9aa2ff579df747c6

Dostupnost: https://doi.org/10.3390/s23052765
https://doaj.org/article/e5c37d0a3c554a3f9aa2ff579df747c6

Navigating the Future Advancing Autonomous Vehicles through Robust Target Recognition and Real-Time Avoidance

Autoři: Hussein, Mohammed Ahmed Mohammed

Zdroj: Theses and Dissertations

Témata: Autonomous Vehicles (AVs) - Object Recognition - YOLOv7 - CARLA Simulator- Object Avoidance - Sensor Fusion - Simulation Environments - Machine Learning - Object Detection Algorithms - Safety and Reliability in AVs, Navigation, Guidance, Control, and Dynamics, Robotics

Popis souboru: application/pdf

Relation: https://fount.aucegypt.edu/etds/2422; https://fount.aucegypt.edu/context/etds/article/3466/viewcontent/Navigating_the_Future_Advancing_Autonomous_Vehicles_through_Robust_Target_Recognition_and_Real_Time_Avoidance.pdf; https://fount.aucegypt.edu/context/etds/article/3466/filename/0/type/additional/viewcontent/IRB_Approval_Form___Mohammed_Ahmed_Mohammed_Hussein.pdf; https://fount.aucegypt.edu/context/etds/article/3466/filename/1/type/additional/viewcontent/Turnitin_receipt___Mohammed_Ahmed_Mohammed_Hussein.pdf; https://fount.aucegypt.edu/context/etds/article/3466/filename/2/type/additional/viewcontent/Signature_page___Mohammed_Ahmed_Mohammed_Hussein.pdf; https://fount.aucegypt.edu/context/etds/article/3466/filename/3/type/additional/viewcontent/Copyright_and_availability_____Mohammed_Ahmed_Mohammed_Hussein.pdf

Dostupnost: https://fount.aucegypt.edu/etds/2422
https://fount.aucegypt.edu/context/etds/article/3466/viewcontent/Navigating_the_Future_Advancing_Autonomous_Vehicles_through_Robust_Target_Recognition_and_Real_Time_Avoidance.pdf
https://fount.aucegypt.edu/context/etds/article/3466/filename/0/type/additional/viewcontent/IRB_Approval_Form___Mohammed_Ahmed_Mohammed_Hussein.pdf
https://fount.aucegypt.edu/context/etds/article/3466/filename/1/type/additional/viewcontent/Turnitin_receipt___Mohammed_Ahmed_Mohammed_Hussein.pdf
https://fount.aucegypt.edu/context/etds/article/3466/filename/2/type/additional/viewcontent/Signature_page___Mohammed_Ahmed_Mohammed_Hussein.pdf
https://fount.aucegypt.edu/context/etds/article/3466/filename/3/type/additional/viewcontent/Copyright_and_availability_____Mohammed_Ahmed_Mohammed_Hussein.pdf

Suspicious People Detection and Tracking in Thermal Video Using Machine Learning: A survey

Autoři: Hassanein yarob albakaa Ali Abdulkarem Habib Alrammahi

Zdroj: Journal of Science and Engineering Applications; Vol. 6 No. 1 (2024): JOURNAL OF SCIENCE AND ENGINEERING APPLICATIONS Volume 6 NO.1 YEAR 2024; 151-176

Témata: RGB Video_ Suspicious People dataset, object detection algorithms, object tracking algorithms

Popis souboru: application/pdf

Relation: https://journals.iunajaf.edu.iq/index.php/JSEA/article/view/2006/1880; https://journals.iunajaf.edu.iq/index.php/JSEA/article/view/2006

Dostupnost: https://journals.iunajaf.edu.iq/index.php/JSEA/article/view/2006

Comparative Study of Face and Person Detection algorithms: Case Study of tramway in Lyon

Autoři: Belhassen, Hatem Bourennane, El-Bay Virginie, Fresse a další

Přispěvatelé: Belhassen, Hatem Bourennane, El-Bay Virginie, Fresse a další

Zdroj: 2019 International Conference on Advanced Systems and Emergent Technologies (IC_ASET). :154-159

Témata: numerous face, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], 02 engineering and technology, Face detection, image motion analysis, data sets, 7. Clean energy, object detection algorithms, computer vision applications, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, industrial context, video surveillance, Prediction algorithms, smart transportation, Lyon, object detection, Detectors, tramway, Cameras, crowded application context, Face, Feature extraction, person detection, crowded scene, face detection algorithms, face recognition, person detection algorithms

Přístupová URL adresa: https://hal-univ-bourgogne.archives-ouvertes.fr/hal-02140525
https://ube.hal.science/hal-02140525v1
https://doi.org/10.1109/ASET.2019.8871003

Development and Evaluation of a System for Detecting Barcodes and QR Codes using YOLO11: A Comparative Study of Accuracy and Efficiency ; Desarrollo y Evaluación de un Sistema de Detección de Códigos de Barras y QR mediante YOLO11: Un Estudio Comparativo de Precisión y Eficiencia ; Desenvolupament i Avaluació d'un Sistema de Detecció de Codis de Barres i QR mitjançant YOLO11: Un Estudi Comparatiu de Precisió i Eficiència

Autoři: Redolar Soldado, Sergio Ivorra Martínez, Eugenio Departamento de Ingeniería de Sistemas y Automática a další

Přispěvatelé: Redolar Soldado, Sergio Ivorra Martínez, Eugenio Departamento de Ingeniería de Sistemas y Automática a další

Témata: YOLO11, Detección de códigos de barras, Detección de códigos QR, Visión por computador, Algoritmos de detección de objetos, Librerías de decodificación, Barcode Detection, QR Code Detection, Computer Vision, Object detection algorithms, Decoding libraries, Detecció de codis de barres, Detecció de codis QR, Visió per computador, Algoritmes de detecció d'objectes, Llibreries de decodificació, Grado en Ingeniería Electrónica Industrial y Automática-Grau en Enginyeria Electrònica Industrial i Automàtica

Popis souboru: application/pdf

Relation: https://riunet.upv.es/handle/10251/223187

Dostupnost: https://riunet.upv.es/handle/10251/223187

Comparison of Different Convolutional Neural Network Architectures for Satellite Image Segmentation

Autoři: Khryashchev V. Ivanovsky L. Pavlov V. a další

Zdroj: 2018 23rd Conference of Open Innovations Association (FRUCT). :172-179

Témata: Image segmentation, Object detection algorithms, Object detection, Satellites, Network architecture, Forestry, Convolutional neural network, Object recognition, 02 engineering and technology, 15. Life on land, Convolution, LANDSAT, Recognition algorithm, 0202 electrical engineering, electronic engineering, information engineering, GEO objects, Satellite images, Neural networks

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/fruct/fruct2018-2.html#KhryashchevIPOR18
https://ieeexplore.ieee.org/abstract/document/8588071

Automated Threat Detection In X-Ray Imagery For Advanced Security Applications

Autoři: Upreti, Amit Rajat, Bothra University of Alberta a další

Přispěvatelé: Upreti, Amit Rajat, Bothra University of Alberta a další

Zdroj: https://hal.archives-ouvertes.fr/hal-03501121 ; [Research Report] University of Alberta,Canada. 2021.

Témata: Baggage screening, Deep Learning, Convolutional Neural Networks, Object Detection Algorithms, X-ray Images, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Relation: hal-03501121; https://hal.archives-ouvertes.fr/hal-03501121; https://hal.archives-ouvertes.fr/hal-03501121/document; https://hal.archives-ouvertes.fr/hal-03501121/file/AI_Multimedia_Project.pdf

Dostupnost: https://hal.archives-ouvertes.fr/hal-03501121
https://hal.archives-ouvertes.fr/hal-03501121/document
https://hal.archives-ouvertes.fr/hal-03501121/file/AI_Multimedia_Project.pdf

Automatic Detection of Geospatial Objects Using Multiple Hierarchical Segmentations

Autoři: Akçay H.G. Aksoy, S.

Zdroj: IEEE Transactions on Geoscience and Remote Sensing

Témata: Object detection algorithms, Image Segmentation, Mathematical Morphology, 0211 other engineering and technologies, 02 engineering and technology, object detection algorithms, Image analysis, Spectral informations, Labeling, Generic algorithms, 0202 electrical engineering, electronic engineering, information engineering, Spectral banding, Risk assessment, Image segmentation, Mathematical models, Conditional probability distributions, Applied (CO), Unsupervised Object Detection, Geo spatial objects, object detection, Remote sensing, Kullback leibler divergence (KLD), generic algorithms, Feature extraction, Remotely Sensed Imagery (RSI), Set theory, Data sets, Different scales, Algorithms, Probabilistic latent semantic analysis (PLSA), Segmentation algorithms, Information theory, Object detection, Automatic labelling, Comparative experiments, New algorithm, Novel methods, Hierarchical Segmentation, Feature distribution, High-resolution (HR) images, Object classes, Learning algorithms, Image Segmentation, Image processing, Object-based, object modelling, Information retrieval, Morphological operations, Boolean functions, Unsupervised object detection, Connected components, Kullback Leibler divergence (KLD), Unsupervised segmentation, Probability, Remotely sensed imagery (RSI), Labels, Object-based analysis, Structural informations, Object recognition, Individual (PSS 544-7), Object-based Analysis, Structuring element (SE), Probability distributions, Grouping problems, Object modelling, Mathematical morphology, Automatic detection, Mathematical Morphology, Hierarchical segmentation

Popis souboru: application/pdf

Přístupová URL adresa: http://repository.bilkent.edu.tr/bitstream/11693/23067/1/Automatic%20detection%20of%20geospatial%20objects%20using%20multiple%20hierarchical%20segmentations.pdf
https://hdl.handle.net/11693/13572
https://hdl.handle.net/11693/23067

Performance measures for object detection evaluation

Autoři: Özdemir, B. Aksoy, S. Eckert, S. a další

Zdroj: Pattern Recognition Letters

Témata: Object detection algorithms, Quantitative evaluation, Performance Evaluation, Object Matching, Performance indicators, Object detection, 0211 other engineering and technologies, Object shape, Object matching, Multi - criteria ranking, Object recognition, 02 engineering and technology, Performance measure, Multi-criteria Ranking, Shape Modeling, Building detection, Visual inspection, Benchmarking, Multi-criteria ranking, Shape modeling, Object Detection, Performance evaluation, 0202 electrical engineering, electronic engineering, information engineering, Visual communication

Popis souboru: application/pdf

Přístupová URL adresa: http://repository.bilkent.edu.tr/bitstream/11693/22267/1/Performance%20measures%20for%20object%20detection%20evaluation.pdf
http://repository.bilkent.edu.tr/handle/11693/22267
http://ui.adsabs.harvard.edu/abs/2010PaReL..31.1128O/abstract
https://dl.acm.org/doi/10.1016/j.patrec.2009.10.016
http://www.cs.bilkent.edu.tr/~saksoy/papers/prl_evaluation.pdf
http://repository.bilkent.edu.tr/bitstream/11693/22267/1/Performance%20measures%20for%20object%20detection%20evaluation.pdf
https://www.cs.umd.edu/~ozdemir/papers/prl_evaluation.pdf
https://hdl.handle.net/11693/11791
https://hdl.handle.net/11693/22267
https://aperta.ulakbim.gov.tr/record/23707