[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Lavanya et al., 2024 - Google Patents

Enhancing Real-time Object Detection with YOLO Algorithm

Lavanya et al., 2024

View PDF
Document ID
15883738535839058761
Author
Lavanya G
Pande S
Publication year
Publication venue
EAI Endorsed Transactions on Internet of Things

External Links

Snippet

This paper introduces YOLO, the best approach to object detection. Real-time detection plays a significant role in various domains like video surveillance, computer vision, autonomous driving and the operation of robots. YOLO algorithm has emerged as a well …
Continue reading at publications.eai.eu (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6256Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10016Video; Image sequence
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K2209/00Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints

Similar Documents

Publication Publication Date Title
Xiao et al. Tiny object detection with context enhancement and feature purification
Chen et al. An Apple Detection Method Based on Des‐YOLO v4 Algorithm for Harvesting Robots in Complex Environment
Khan et al. Scale and density invariant head detection deep model for crowd counting in pedestrian crowds
Lavanya et al. Enhancing Real-time Object Detection with YOLO Algorithm
Soleimanitaleb et al. Single object tracking: A survey of methods, datasets, and evaluation metrics
Huang et al. Multiple objects tracking in the UAV system based on hierarchical deep high-resolution network
Wang et al. AutoScaler: Scale-attention networks for visual correspondence
Krishnan et al. Hybridization of deep convolutional neural network for underwater object detection and tracking model
Li et al. Boost infrared moving aircraft detection performance by using fast homography estimation and dual input object detection network
Wang et al. Small vehicle classification in the wild using generative adversarial network
Mana et al. An intelligent deep learning enabled marine fish species detection and classification model
Ying et al. A robust one-stage detector for SAR ship detection with sequential three-way decisions and multi-granularity
Gong et al. Research on an improved KCF target tracking algorithm based on CNN feature extraction
Thoudoju Detection of aircraft, vehicles and ships in aerial and satellite imagery using evolutionary deep learning
Yan et al. Repeatable adaptive keypoint detection via self-supervised learning
Ammar et al. Comparative Study of latest CNN based Optical Flow Estimation
Sharma et al. MASSNet: Multiscale Attention for Single-Stage Ship Instance Segmentation
Zhang et al. Boosting the speed of real-time multi-object trackers
Chen et al. Ship tracking for maritime traffic management via a data quality control supported framework
Sharma et al. Visual object tracking based on discriminant DCT features
Wang et al. Fast target tracking based on improved deep sort and YOLOv3 fusion algorithm
Suri Detection of moving vehicles on highway using fuzzy logic for smart surveillance system
Wang et al. A light-weight stereo matching network with color guidance refinement
Kalirajan et al. Deep learning for moving object detection and tracking
Ahmad et al. Multi Object Tracking System form Video Streaming using Yolo