Search Results - modified object-detection method

A low light object detection method based on a modified YOLO11 model

Authors: Meng Zhou Shuke He Jing Wang et al.

Source: 2025 IEEE 14th Data Driven Control and Learning Systems (DDCLS). :2163-2168

A hybrid human fall detection method based on modified YOLOv8s and AlphaPose

Authors: Lei Liu Yeguo Sun Yinyin Li et al.

Source: Sci Rep
Scientific Reports, Vol 15, Iss 1, Pp 1-17 (2025)

Subject Terms: Human pose estimation, Object detection, Science, Fall detection, Medicine, Humans, Computer vision, Accidental Falls, Article, Algorithms

Access URL: https://pubmed.ncbi.nlm.nih.gov/39837978
https://doaj.org/article/eb4b51765cd5406389110864d8fc1701

Algorithm of Ground Object Detection with Modified SURF Method by Using Morphological Features

Authors: Maryna Mukhina Iryna Barkalova

Source: 2018 IEEE 5th International Conference on Methods and Systems of Navigation and Motion Control (MSNMC). :59-62

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=8576292
http://xplorestaging.ieee.org/ielx7/8554189/8576167/08576292.pdf?arnumber=8576292

Study and Analysis of Modified Mean Shift Method and Kalman Filter for Moving Object Detection and Tracking

Authors: S. Pallavi Rohit Raja N. Ramya et al.

Source: Advances in Intelligent Systems and Computing ISBN: 9789811514791

Access URL: https://link.springer.com/chapter/10.1007/978-981-15-1480-7_76

Object detection with afordable robustness for UAV aerial imagery: model and providing method

Authors: Viacheslav Moskalenko Artem Korobov Yuriy Moskalenko

Source: Радіоелектронні і комп'ютерні системи, Vol 2024, Iss 3, Pp 55-66 (2024)

Subject Terms: TK7885-7895, Computer engineering. Computer hardware, adversarial attack, meta-learning, fault injection, Electronic computers. Computer science, object detection, robustness, QA75.5-76.95

Access URL: https://doaj.org/article/fb0518b83e8c4af6909e2c785f31707d

Research on the Method of Foreign Object Detection for Railway Tracks Based on Deep Learning

Authors: Shanping Ning Feng Ding Bangbang Chen

Source: Sensors, Vol 24, Iss 14, p 4483 (2024)

Subject Terms: foreign object intrusion, detection method, semantic segmentation network, modified YOLOv5s, attention mechanism, loss function, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://www.mdpi.com/1424-8220/24/14/4483; https://doaj.org/toc/1424-8220

Access URL: https://doaj.org/article/8dfe0191b6e7480eb8618e8e5c6f333a

基于 PP-PicoDet 的改型轻量级烟丝异物检测算法.

Alternate Title: A modified lightweight algorithm for foreign object detection in cut tobacco based on PP-PicoDet.

Authors: 李建军 誉东明 刘会杰 et al.

Source: Acta Tabacaria Sinica / Zhongguo Yancao Xuebao. Oct2025, Vol. 31 Issue 5, p20-30. 11p.

Subject Terms: *OBJECT recognition (Computer vision), *DETECTION algorithms, *GAUSSIAN mixture models, *TOBACCO, *LOSS functions (Statistics), *TOBACCO analysis, *FEATURE extraction

A combination of RANSAC and DBSCAN methods for solving the multiple geometrical object detection problem

Authors: Rudolf Scitovski Snježana Majstorović Kristian Sabo

Source: Journal of Global Optimization. 79:669-686

Subject Terms: Multiple ellipse detection problem, RANSAC, Modified k-means, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, The most appropriate partition, Multiple line detection problem, 02 engineering and technology, Multiple circle detection problem, DBSCAN, Incremental algorithm

Access URL: https://www.bib.irb.hr/1095281
https://link.springer.com/article/10.1007/s10898-020-00950-8
https://dblp.uni-trier.de/db/journals/jgo/jgo79.html#ScitovskiMS21
https://link.springer.com/article/10.1007/s10898-020-00950-8
https://ideas.repec.org/a/spr/jglopt/v79y2021i3d10.1007_s10898-020-00950-8.html

A Robust Method for Moving Object Detection Using Modified Statistical Mean Method

Authors: Safvan Vahora

Source: International Journal of Advanced Information Technology. 2:65-73

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://www.airccse.org/journal/IJAIT/papers/2112ijait06.pdf

A novel three-dimensional object detection with the modified You Only Look Once method

Authors: Haihang Jia Xia Zhao Yingting Ni

Source: International Journal of Advanced Robotic Systems, Vol 15 (2018)

Subject Terms: TK7800-8360, Electronic computers. Computer science, 0202 electrical engineering, electronic engineering, information engineering, QA75.5-76.95, 02 engineering and technology, Electronics

Access URL: https://journals.sagepub.com/doi/pdf/10.1177/1729881418765507
https://doaj.org/article/ab38bf6652184db3a5540c30262fce3c
https://journals.sagepub.com/doi/pdf/10.1177/1729881418765507
https://journals.sagepub.com/doi/full/10.1177/1729881418765507
http://journals.sagepub.com/doi/full/10.1177/1729881418765507

Modified Object Detection Method Based on YOLO

Authors: Haihang Jia Xia Zhao Yingting Ni

Source: Communications in Computer and Information Science ISBN: 9789811073045

Modified convolutional architecture based anomaly detection for video surveillance with mask R-CNN segmentation model for object detection.

Authors: Ravikumar, Gudupudi Vanniappan, Malathy RajKumar, K.

Source: Signal, Image & Video Processing; Nov2025, Vol. 19 Issue 11, p1-16, 16p

Machine Learning Based Performance Analysis of Video Object Detection and Classification Using Modified Yolov3 and Mobilenet Algorithm

Authors: Mohandoss T Rangaraj J

Source: Journal of Machine and Computing. :282-296

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

A Novel Remote Sensing Recognition Using Modified GMM Segmentation and DenseNet

Authors: Muhammad Waqas Ahmed Moneerah Alotaibi Sultan Refa Alotaibi et al.

Source: IEEE Access, Vol 13, Pp 9372-9390 (2025)

Subject Terms: remote sensing, feature fusion, object detection, Electrical engineering. Electronics. Nuclear engineering, Multi object classification, DenseNet-121, TK1-9971

Access URL: https://doaj.org/article/0e6ec609be2e4870be9a1ef0615174eb

A modified YOLOv3 detection method for vision-based water surface garbage capture robot

Authors: Shihan Kong Junzhi Yu Licheng Wu et al.

Source: International Journal of Advanced Robotic Systems, Vol 17 (2020)

Subject Terms: Visual Odometry, Artificial intelligence, 0209 industrial biotechnology, TK7800-8360, Data set, Object detection, Robot, Robot Navigation, Aerospace Engineering, FOS: Mechanical engineering, Set (abstract data type), 02 engineering and technology, Simultaneous Localization and Mapping, Garbage, Pattern recognition (psychology), Sampling-Based Motion Planning Algorithms, Engineering, Field (mathematics), FOS: Mathematics, Real-time Water Quality Monitoring and Aquaculture Management, Water Science and Technology, Pure mathematics, QA75.5-76.95, Computer science, Programming language, 13. Climate action, Electronic computers. Computer science, Environmental Science, Physical Sciences, Computer Science, Computer vision, Computer Vision and Pattern Recognition, Water Quality Monitoring, Electronics, Mathematics

Access URL: https://journals.sagepub.com/doi/pdf/10.1177/1729881420932715
https://doaj.org/article/1971d89a4abe40acbcfcefb5b4092c97
https://journals.sagepub.com/doi/pdf/10.1177/1729881420932715
https://journals.sagepub.com/doi/10.1177/1729881420932715
http://journals.sagepub.com/doi/10.1177/1729881420932715

A hybrid human fall detection method based on modified YOLOv8s and AlphaPose.

Authors: Liu, Lei Sun, Yeguo Li, Yinyin et al.

Source: Scientific Reports; 1/21/2025, Vol. 15 Issue 1, p1-17, 17p

Subject Terms: POSE estimation (Computer vision), OBJECT recognition (Computer vision), HUMAN activity recognition, EDGE computing, ALGORITHMS

Modified M‐RCNN approach for abandoned object detection in public places.

Authors: Veluri, Rahul Chiranjeevi Khan, Shakir Sankareswaran, Senthil Pandi et al.

Source: Expert Systems; Feb2025, Vol. 42 Issue 2, p1-11, 11p

Subject Terms: PUBLIC spaces, VIDEO surveillance, BOMBS, WEAPONS, LUGGAGE

Multi-Object Detection and Tracking with Modified Optimization Classification in Video Sequences

Authors: Prabu S Hajira Be A.B Syed Raffi Ahamed J

Source: Journal of Computer Allied Intelligence. 2:15-27

Adaptive signal suppression based on modified PCA for a single‐point radiation source in radar networks

Authors: Quanhua Liu Lun Tian Yingjie Miao et al.

Source: The Journal of Engineering (2019)

Subject Terms: principal component analysis, interference suppression, high-precision delay alignment, single-point radiation source, object detection, array signal processing theory, adaptive suppression method, reliable detection, 02 engineering and technology, baseline radar network, baseline radar system, radar signal processing, Engineering (General). Civil engineering (General), interference environment, adaptive processing method, adaptive signal suppression, modified pca, effective target detection, 0202 electrical engineering, electronic engineering, information engineering, signal model, target energy, array signal processing, radar networks, TA1-2040, single radiation source

Access URL: https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/joe.2019.0646
https://doaj.org/article/354b1b21e9ac480f8af8dda0865ef076
https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0646

Real-time identification of collapsed buildings triggered by natural disasters using a modified object-detection network with quasi-panchromatic images

Authors: Jiayi Ge Qiao Wang Hong Tang

Source: European Journal of Remote Sensing, Vol 57, Iss 1 (2024)

Subject Terms: Building damage, remote sensing, object-level, disaster response, real-time, deep learning, Oceanography, GC1-1581, Geology, QE1-996.5

File Description: electronic resource

Relation: https://doaj.org/toc/2279-7254

Access URL: https://doaj.org/article/d36da4b0093042a0b4b0082d76c4a70d