Suchergebnisse - Viola-Jones object detection algorithm

Fast Object Detection Algorithm using Edge-based Operation Skip Scheme with Viola-Jones Method

Autoren: Cheol-Ho Choi Joonhwan Han Jeongwoo Cha et al.

Quelle: 2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS). :199-203

Drowsiness Detection Using Viola–Jones Object Detection Algorithm for Real-Time Data

Autoren: Palak Agrawal Prakhar Gupta Raghavendra Kumar et al.

Quelle: Advances in Intelligent Systems and Computing ISBN: 9789811601705

Schlagwörter: 11. Sustainability

Zugangs-URL: https://link.springer.com/chapter/10.1007/978-981-16-0171-2_35

사각 특징을 추가한 Viola-Jones 물체 검출 알고리즘 ; Viola-Jones Object Detection Algorithm Using Rectangular Feature

Autoren: 서지원 이지은 곽노준

Weitere Verfasser: 서지원 이지은 곽노준

Schlagwörter: Viola-Jones, 물체 검출, Haar 모양 특징, 사각 특징

Relation: https://hdl.handle.net/10371/207911; 215898; ART001662285

Verfügbarkeit: https://hdl.handle.net/10371/207911

Communication Skills Personal Trainer Based on Viola-Jones Object Detection Algorithm

Autoren: Javier Teira Lafuente Álvaro Pardo Pertierra Ana Belén Gil González et al.

Quelle: Lecture Notes in Computer Science ISBN: 9783030034924

Zugangs-URL: https://rd.springer.com/chapter/10.1007/978-3-030-03493-1_75
https://link.springer.com/content/pdf/10.1007%2F978-3-030-03493-1_75.pdf
https://link.springer.com/chapter/10.1007/978-3-030-03493-1_75
https://dblp.uni-trier.de/db/conf/ideal/ideal2018-1.html#PertierraGLL18

DAFPN-YOLO: An Improved UAV-Based Object Detection Algorithm Based on YOLOv8s.

Autoren: Wang, Honglin Zhang, Yaolong Zhu, Cheng

Quelle: Computers, Materials & Continua; 2025, Vol. 83 Issue 2, p1929-1949, 21p

Schlagwörter: OBJECT recognition (Computer vision), DETECTION algorithms, FEATURE extraction, DATA mining, BORDER patrols, DEEP learning

YOLO-DAFS: A Composite-Enhanced Underwater Object Detection Algorithm.

Autoren: Luo, Shengfu Dong, Chao Dong, Guixin et al.

Quelle: Journal of Marine Science & Engineering; May2025, Vol. 13 Issue 5, p947, 22p

Schlagwörter: OBJECT recognition (Computer vision), COMPUTER vision, FEATURE extraction, DETECTION algorithms, DEEP learning

RETRACTED: Research on pedestrian object detection algorithm in urban road scenes based on improved YOLOv5.

Autoren: Liu, Zhaohui Wang, Xiao

Quelle: Journal of Intelligent & Fuzzy Systems; 2024Supplement, Vol. 47, p363-374, 12p

Schlagwörter: RETRACTION of scholarly articles, OBJECT recognition (Computer vision), DETECTION algorithms, PEDESTRIANS

GFRF R-CNN: Object Detection Algorithm for Transmission Lines.

Autoren: Yan, Xunguang Wang, Wenrui Lu, Fanglin et al.

Quelle: Computers, Materials & Continua; 2025, Vol. 82 Issue 1, p1439-1458, 20p

Schlagwörter: OBJECT recognition (Computer vision), CONVOLUTIONAL neural networks, DETECTION algorithms, FEATURE extraction, ELECTRIC lines

Efficient Small Object Detection You Only Look Once: A Small Object Detection Algorithm for Aerial Images.

Autoren: Luo, Jie Liu, Zhicheng Wang, Yibo et al.

Quelle: Sensors (14248220); Nov2024, Vol. 24 Issue 21, p7067, 22p

Schlagwörter: OBJECT recognition (Computer vision), DRONE aircraft, DATA mining, INFORMATION networks, DETECTION algorithms

Flexible and robust detection for assembly automation with YOLOv5: a case study on HMLV manufacturing line.

Autoren: Simeth, Alexej Kumar, Atal Anil Plapper, Peter

Quelle: Journal of Intelligent Manufacturing; Jun2025, Vol. 36 Issue 5, p3447-3463, 17p

Schlagwörter: ARTIFICIAL intelligence, DETECTION algorithms, OBJECT recognition (Computer vision), SMALL business, IMAGE processing

Research on Metal Foreign Object Detection Algorithm Based on RECBAM-YOLOv5.

Autoren: Xu, Zhongxun Zhou, Wenjie Li, Xiaoguang et al.

Quelle: Journal of Physics: Conference Series; 2025, Vol. 2976 Issue 1, p1-10, 10p

Take Back the Algorithms! A Media Theory of Commonistic Affordance

Autoren: Miyazaki, Shintaro PETIT, Maximilien

Weitere Verfasser: Miyazaki, Shintaro PETIT, Maximilien

Quelle: Media Theory, Vol 3, Iss 1 (2019)

Schlagwörter: Affordance, Media, Violaâ€'Jones object detection algorithm, Viola-Jones object detection algorithm, Practice- oriented critical media studies, Practice-oriented critical media studies, Communication. Mass media, Media theory, Commoning, [SHS] Humanities and Social Sciences, P87-96, [SHS.INFO] Humanities and Social Sciences/Library and information sciences

Dateibeschreibung: application/pdf

Zugangs-URL: https://doaj.org/article/89085abead2c4fdaaae19020d2854b81
http://journalcontent.mediatheoryjournal.org/index.php/mt/article/download/89/79
http://journalcontent.mediatheoryjournal.org/index.php/mt/article/view/89
https://hal.science/hal-02470429v1

Smart Assistive System for Visually Impaired People Obstruction Avoidance Through Object Detection and Classification

Autoren: Usman Masud Tareq Saeed Hunida Malaikah et al.

Quelle: IEEE Access, Vol 10, Pp 13428-13441 (2022)

Schlagwörter: tensorflow, Visual Tracking, Artificial intelligence, Support vector machine, Object detection, Cognitive Neuroscience, FOS: Political science, Internet of Things, FOS: Law, Automated Currency Recognition and Authentication, 02 engineering and technology, Smart system, Viola Jones, Pattern recognition (psychology), object recognition, Visual Object Tracking and Person Re-identification, biomedical sensor, visual losses, 0202 electrical engineering, electronic engineering, information engineering, Arduino, Visually Impaired, Embedded system, Political science, Human–computer interaction, Visually impaired, Obstacle, AdaBoost, Raspberry pi, Life Sciences, Wearable computer, Servomotor, Computer science, Tactile Perception and Cross-modal Plasticity, TK1-9971, Process (computing), 3. Good health, Object Tracking, Operating system, Computer Science, Physical Sciences, Multiple Object Tracking, Computer vision, Object (grammar), Electrical engineering. Electronics. Nuclear engineering, Computer Vision and Pattern Recognition, Sensory Substitution, Law, Neuroscience

Zugangs-URL: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09691323.pdf
https://doaj.org/article/cdaafed984a84b2d9d47195484a3648c

YOLO-GE: An Attention Fusion Enhanced Underwater Object Detection Algorithm.

Autoren: Li, Qiming Shi, Hongwei

Quelle: Journal of Marine Science & Engineering; Oct2024, Vol. 12 Issue 10, p1885, 17p

Schlagwörter: MARINE resources conservation, FEATURE extraction, IMAGE intensifiers, WATER quality, AQUATIC organisms

Multiclass objects detection algorithm using DarkNet-53 and DenseNet for intelligent vehicles.

Autoren: Yang, Lina Chen, Gang Ci, Wenyan

Quelle: EURASIP Journal on Advances in Signal Processing; 8/1/2023, Vol. 2023 Issue 1, p1-18, 18p

Schlagwörter: OBJECT recognition (Computer vision), ALGORITHMS

Improved YOLOv7 Automatic Driving Object Detection Algorithm. (English)

Autoren: HU Miao JIANG Lin TAO Youfeng et al.

Quelle: Journal of Computer Engineering & Applications; 6/1/2024, Vol. 60 Issue 11, p165-172, 8p

Schlagwörter: OBJECT recognition (Computer vision), ALGORITHMS, AUTONOMOUS vehicles, MOTOR vehicle driving, AUTOMOBILE driving

Probabilistic Darwin Machines: A new approach to develop Evolutionary Object Detection Systems

Autoren: Baró i Solé, Xavier

Weitere Verfasser: University/Department: Universitat Autònoma de Barcelona. Departament de Ciències de la Computació

Thesis Advisors: Vitrià i Marca, Jordi

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Evolutionary computation, Artificial intelligence, Computer vision, Tecnologies

Time: 519.1

Dateibeschreibung: application/pdf

Zugangs-URL: http://www.tdx.cat/TDX-1027110-002112
http://hdl.handle.net/10803/5793

Improved YOLOv7 for Small Object Detection Algorithm Based on Attention and Dynamic Convolution.

Autoren: Li, Kai Wang, Yanni Hu, Zhongmian

Quelle: Applied Sciences (2076-3417); Aug2023, Vol. 13 Issue 16, p9316, 18p

Schlagwörter: OBJECT recognition (Computer vision), ALGORITHMS, DEEP learning, TRACKING algorithms

An object detection algorithm based on the feature pyramid network and single shot multibox detector.

Autoren: Wang, Yanni Liu, Xiang Guo, Rongchun

Quelle: Cluster Computing; Oct2022, Vol. 25 Issue 5, p3313-3324, 12p

Schlagwörter: OBJECT recognition (Computer vision), PYRAMIDS, TRACKING algorithms, SOLID state drives, DETECTORS, ALGORITHMS, PROBLEM solving

A Lightweight Object Detection Algorithm for Remote Sensing Images Based on Attention Mechanism and YOLOv5s.

Autoren: Liu, Pengfei Wang, Qing Zhang, Huan et al.

Quelle: Remote Sensing; May2023, Vol. 15 Issue 9, p2429, 29p

Schlagwörter: OBJECT recognition (Computer vision), ALGORITHMS

Firma/Körperschaft: CHRISTIAN Dior SA