Výsledky vyhľadávania - Scene Analysis—Object recognition General Terms Algorithms Keywords Shape classification

Comprehensive Forensic Tool for Crime Scene and Traffic Accident 3D Reconstruction.

Autori: Ospina-Bohórquez, Alejandra Ruiz de Oña, Esteban Yali, Roy a ďalší

Zdroj: Algorithms; Nov2025, Vol. 18 Issue 11, p707, 35p

Predmety: FORENSIC sciences, PHOTOGRAMMETRY, OBJECT recognition (Computer vision), MACHINE learning, THREE-dimensional imaging, MOTION analysis, CRIME scene searches, TRAFFIC accident statistics

A contemporary approach for object recognition based on spatial layout and low level features' integration.

Autori: Shaikh, Riaz Ahmed Memon, Imran Hussain, Rafaqat a ďalší

Zdroj: Multimedia Tools & Applications; Sep2025, Vol. 84 Issue 32, p1-24, 24p

Predmety: SPATIAL arrangement, COLOR, DESIGN, SURFACE texture, RECOGNITION (Psychology), PATTERN perception

Mutation Interval-Based Segment-Level SRDet: Side Road Detection Based on Crowdsourced Trajectory Data.

Autori: Luo, Ying Jiao, Fengwei Xiang, Longgang a ďalší

Zdroj: ISPRS International Journal of Geo-Information; Aug2025, Vol. 14 Issue 8, p299, 27p

Predmety: TRAFFIC engineering, URBAN planning, RANDOM forest algorithms, CLUSTERING algorithms, TRAFFIC monitoring

Geografický termín: BEIJING (China)

A comprehensive review on performance-based comparative analysis, categorization, classification and mapping of text extraction system techniques for images.

Autori: Ghai, Deepika Saxena, Sobhit Dhingra, Gittaly a ďalší

Zdroj: Multimedia Tools & Applications; Feb2025, Vol. 84 Issue 5, p2327-2484, 158p

Predmety: EXTRACTION techniques, ARTIFICIAL intelligence, EVIDENCE gaps, HYPERLINKS, MACHINE learning

Use and Potential of AI in Assisting Surveyors in Building Retrofit and Demolition—A Scoping Review.

Autori: Yin, Yuan Zuo, Haoyu Jennings, Tom a ďalší

Zdroj: Buildings (2075-5309); Oct2025, Vol. 15 Issue 19, p3448, 51p

Predmety: ARTIFICIAL intelligence, DEEP learning, RETROFITTING of buildings, BUILDING demolition, SUSTAINABLE construction, SURVEYORS, DEMOLITION, AUDITING

Automatic Diagnosis, Classification, and Segmentation of Abdominal Aortic Aneurysm and Dissection from Computed Tomography Images.

Autori: Baltaci, Hakan Yalcin, Sercan Yildirim, Muhammed a ďalší

Zdroj: Diagnostics (2075-4418); Oct2025, Vol. 15 Issue 19, p2476, 23p

Predmety: AORTIC dissection, COMPUTED tomography, CONVOLUTIONAL neural networks, CARDIOVASCULAR diseases, IMAGE segmentation, COMPUTER-aided diagnosis, DEEP learning

Towards an End-to-End Digital Framework for Precision Crop Disease Diagnosis and Management Based on Emerging Sensing and Computing Technologies: State over Past Decade and Prospects.

Autori: Nkwocha, Chijioke Leonard Chandel, Abhilash Kumar

Zdroj: Computers (2073-431X); Oct2025, Vol. 14 Issue 10, p443, 69p

Predmety: PLANT diseases, MACHINE learning, PRECISION farming, DEEP learning, REAL-time computing, IMAGING systems, EDGE computing, ARTIFICIAL intelligence

Enhanced Isolation Forest-Based Algorithm for Unsupervised Anomaly Detection in Lidar SLAM Localization.

Autori: Geng, Guoqing Wang, Peining Sun, Liqin a ďalší

Zdroj: World Electric Vehicle Journal; Apr2025, Vol. 16 Issue 4, p209, 23p

Predmety: GEOGRAPHICAL perception, SYSTEM failures, BASE isolation system, COMPLEX variables, AUTOMATIC classification

Enhancing transportation network intelligence through visual scene feature clustering analysis with 3D sensors and adaptive fuzzy control.

Autori: Xu, Jing

Zdroj: PeerJ Computer Science; Dec2024, p1-18, 18p

Predmety: ADAPTIVE fuzzy control, INTELLIGENCE levels, FEATURE extraction, VISUAL perception, FUZZY algorithms

Optimal fuzzy-PID controller design for object tracking.

Autori: Melese, Yaregal Limenih Alitasb, Girma Kassa Belete, Mequanent Degu

Zdroj: Scientific Reports; 4/8/2025, Vol. 15 Issue 1, p1-22, 22p

Predmety: TRAFFIC monitoring, ARTIFICIAL intelligence, SPORTS films, MEMBERSHIP functions (Fuzzy logic), IMAGE processing, TRACKING algorithms, VIDEO surveillance

An Application of Deep Learning Models for the Detection of Cocoa Pods at Different Ripening Stages: An Approach with Faster R-CNN and Mask R-CNN.

Autori: Restrepo-Arias, Juan Felipe Montoya-Castaño, María José Moreno-De La Espriella, María Fernanda a ďalší

Zdroj: Computation; Jul2025, Vol. 13 Issue 7, p159, 36p

Predmety: COCOA, PRECISION farming, DEEP learning, FRUIT ripening, IMAGE segmentation, OBJECT recognition (Computer vision)

KU Leuven

Autori: Mukta Prasad Luc Van Gool The Pennsylvania State University CiteSeerX Archives

Prispievatelia: Mukta Prasad Luc Van Gool The Pennsylvania State University CiteSeerX Archives

Zdroj: http://eprints.pascal-network.org/archive/00007981/01/3197.pdf.

Predmety: Categories and Subject Descriptors I.2.10 [Artificial Intelligence, Vision and Scene Understanding—3D/stereo scene analysis, Shape, I.4.8 [Image processing and computer vision, Scene Analysis—Object recognition General Terms Algorithms Keywords Shape classification, Hough transform, orientation invariant, SVM, shape descriptors

Popis súboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.370.9131

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.370.9131
http://eprints.pascal-network.org/archive/00007981/01/3197.pdf

SLEUTH-CNNs Model: A Proposed Conceptual Modification of a Cellular Automata based Geo-Artificial Intelligence Modeling Multi-System.

Alternate Title: نموذج SLEUTH-CNN: تعديل مفاهيمي مقترح لنموذج ذكاء إصطناعي جغرافي متعدد الأنظمة قائم على أساس الأوتوماتا الخلوية. (Arabic)

Autori: Shoukry, Nermin A.

Zdroj: International Journal of Informatics, Media & Communication Technology (IJIMCT); Jun2025, Vol. 7 Issue 1, p36-110, 75p

Predmety: CONVOLUTIONAL neural networks, ARTIFICIAL intelligence, DEEP learning, COMPUTER programming, MACHINE learning

MVPOD: A Dataset and Benchmark for Multi-Vertical-Perspective Object Detection in Multi-Platform Remote Sensing Images.

Autori: Jin, Haiyan Chen, Jintao Zhang, Yuanlin a ďalší

Zdroj: Remote Sensing; Sep2025, Vol. 17 Issue 17, p3029, 23p

Predmety: REMOTE sensing, DEEP learning, BENCHMARK problems (Computer science), OBJECT recognition (Computer vision), ACQUISITION of data

Real-Time Object Detection for Edge Computing-Based Agricultural Automation: A Case Study Comparing the YOLOX and YOLOv12 Architectures and Their Performance in Potato Harvesting Systems.

Autori: Kim, Joonam Kim, Giryeon Yoshitoshi, Rena a ďalší

Zdroj: Sensors (14248220); Aug2025, Vol. 25 Issue 15, p4586, 30p

Predmety: EDGE computing, AGRICULTURAL robots, DATA quality, MECHANICAL efficiency, POTATO growing, OBJECT recognition (Computer vision)

Korporácia: NVIDIA Corp.

RESEARCH ON ACTION DECOMPOSITION METHOD OF FOOTBALL VIDEO IMAGE BASED ON DEEP LEARNING.

Autori: Haoyu Wang Wang, Lanfeng Litong Wang a ďalší

Zdroj: International Journal of Medicine & Science of Physical Activity & Sport / Revista Internacional de Medicina y Ciencias de la Actividad Física y del Deporte; mar2025, Vol. 25 Issue 100, p313-329, 17p

Predmety: DEEP learning, DECOMPOSITION method, ALGORITHMS, VIDEOS

Comparing Pixel- and Object-Based Approaches for Classifying Multispectral Drone Imagery of a Salt Marsh Restoration and Reference Site.

Autori: Norris, Gregory S. LaRocque, Armand Leblon, Brigitte a ďalší

Zdroj: Remote Sensing; Mar2024, Vol. 16 Issue 6, p1049, 31p

Predmety: SALT marshes, VEGETATION mapping, RANDOM forest algorithms, REMOTE sensing, IMAGE recognition (Computer vision)

Geografický termín: BAY of Fundy, NEW Brunswick

Research on the PDC rock cuttings image instance segmentation method based on improved U-Net++ network and multi-feature fusion.

Autori: Huo, Fengcai Dong, Shuai Ren, Weijian a ďalší

Zdroj: Petroleum Science & Technology; 2025, Vol. 43 Issue 15, p1809-1830, 22p

Predmety: IMAGE segmentation, CUTTING stock problem, DIAMOND cutting, PROBLEM solving, PETROLEUM, DEEP learning

Broiler Behavior Detection and Tracking Method Based on Lightweight Transformer.

Autori: Qi, Haixia Chen, Zihong Liang, Guangsheng a ďalší

Zdroj: Applied Sciences (2076-3417); Mar2025, Vol. 15 Issue 6, p3333, 19p

Predmety: BROILER chickens, CHICKENS, TRACKING algorithms, COMPUTATIONAL complexity, GENERALIZATION

Climate Risk in Supply Chains and Corporate Cash Holdings: Mechanisms and Mitigation Strategies.

Autori: Sheng, Xiaoqi Shao, Jun Ju, Zhen

Zdroj: Sustainability (2071-1050); Nov2025, Vol. 17 Issue 22, p10390, 21p