Search Results - "Object Detection Algorithms"

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

Authors: Mohamad Abubaker Zubayda Alsadder Hamed Abdelhaq et al.

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

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

Access URL: https://doaj.org/article/6a97eca606fc4b5aae3701d35175c451

Collision avoidance in pedestrian-rich environments using deep learning

Authors: Bouchamla, Hanene Boumaiza, Zied Ben Mabrouk, Walid et al.

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

Subject Terms: 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

File Description: application/pdf

Access URL: 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

Authors: LI Hui ZHANG Jun YU Shuochen et al.

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

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

File Description: electronic resource

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

Access URL: 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]

Authors: Hicham Medromi Badr-Eddine Benelmostafa Rita Aitelhaj

Source: F1000Research, Vol 14 (2025)

Subject Terms: 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

File Description: electronic resource

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

Access URL: 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

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

Source: 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

Subject Terms: 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

File Description: 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

Availability: 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

Authors: Xu Zhaosheng Liao Zhongming Xiao Xiaoyong et al.

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

Subject Terms: 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

Availability: 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

Authors: Salimi, Maghsood Loni, Mohammad Afshar, Sara et al.

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

Subject Terms: 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

File Description: print

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

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

Authors: Aburasain, Rua

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

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

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

Authors: I. Zanoon, Nabeel A. Alhaj, Abdullah Alkharabsheh, Khalid et al.

Contributors: I. Zanoon, Nabeel A. Alhaj, Abdullah Alkharabsheh, Khalid et al.

Source: 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

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

File Description: 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

Availability: 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

Authors: Jung, Woo-Jin Choi, Won-Hyuck

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

Subject Terms: YOLO, Advanced Air Mobility, Object Detection Algorithms, Urban Air Mobility

File Description: application/pdf

Access URL: 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

Authors: Redolar Soldado, Sergio Ivorra Martínez, Eugenio Departamento de Ingeniería de Sistemas y Automática et al.

Contributors: Redolar Soldado, Sergio Ivorra Martínez, Eugenio Departamento de Ingeniería de Sistemas y Automática et al.

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

Subject Terms: 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

File Description: application/pdf

Access URL: https://riunet.upv.es/handle/10251/223187

Novel Robotic Arm Working-Area AI Protection System

Authors: Jeng-Dao Lee En-Shuo Jheng Chia-Chen Kuo et al.

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

Subject Terms: 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

Availability: 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

Authors: Hussein, Mohammed Ahmed Mohammed

Source: Theses and Dissertations

Subject Terms: 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

File Description: 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

Availability: 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

Authors: Hassanein yarob albakaa Ali Abdulkarem Habib Alrammahi

Source: 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

Subject Terms: RGB Video_ Suspicious People dataset, object detection algorithms, object tracking algorithms

File Description: 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

Availability: 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

Authors: Belhassen, Hatem Bourennane, El-Bay Virginie, Fresse et al.

Contributors: Belhassen, Hatem Bourennane, El-Bay Virginie, Fresse et al.

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

Subject Terms: 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

Access URL: 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

Authors: Redolar Soldado, Sergio Ivorra Martínez, Eugenio Departamento de Ingeniería de Sistemas y Automática et al.

Contributors: Redolar Soldado, Sergio Ivorra Martínez, Eugenio Departamento de Ingeniería de Sistemas y Automática et al.

Subject Terms: 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

File Description: application/pdf

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

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

Comparison of Different Convolutional Neural Network Architectures for Satellite Image Segmentation

Authors: Khryashchev V. Ivanovsky L. Pavlov V. et al.

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

Subject Terms: 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

Access URL: 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

Authors: Upreti, Amit Rajat, Bothra University of Alberta et al.

Contributors: Upreti, Amit Rajat, Bothra University of Alberta et al.

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

Subject Terms: 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

Availability: 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

Authors: Akçay H.G. Aksoy, S.

Source: IEEE Transactions on Geoscience and Remote Sensing

Subject Terms: 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

File Description: application/pdf

Access URL: 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

Authors: Özdemir, B. Aksoy, S. Eckert, S. et al.

Source: Pattern Recognition Letters

Subject Terms: 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

File Description: application/pdf

Access URL: 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