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

Ehsan et al., 2024 - Google Patents

Broiler-Net: A Deep Convolutional Framework for Broiler Behavior Analysis in Poultry Houses

Ehsan et al., 2024

View PDF
Document ID
7028274937951767879
Author
Ehsan T
Mohtavipour S
Publication year
Publication venue
arXiv preprint arXiv:2401.12176

External Links

Snippet

Detecting anomalies in poultry houses is crucial for maintaining optimal chicken health conditions, minimizing economic losses and bolstering profitability. This paper presents a novel real-time framework for analyzing chicken behavior in cage-free poultry houses to …
Continue reading at arxiv.org (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
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00771Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
    • 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
    • G06K9/6228Selecting the most significant subset of features
    • 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
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • 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
    • 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
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/40Analysis of texture
    • 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
    • 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
    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00268Feature extraction; Face representation
    • G06K9/00281Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications

Similar Documents

Publication Publication Date Title
Yang et al. Deformable convolution and coordinate attention for fast cattle detection
Ojo et al. Internet of Things and Machine Learning techniques in poultry health and welfare management: A systematic literature review
Mei et al. Recent advances of target tracking applications in aquaculture with emphasis on fish
Guo et al. Enhanced camera-based individual pig detection and tracking for smart pig farms
Ramos et al. Visual data mining for crowd anomaly detection using artificial bacteria colony
Huang et al. Center clustering network improves piglet counting under occlusion
Guo et al. Detecting broiler chickens on litter floor with the YOLOv5-CBAM deep learning model
Qasrawi et al. Machine learning techniques for tomato plant diseases clustering, prediction and classification
Guo et al. Automatic detection of brown hens in cage-free houses with deep learning methods
Gozzovelli et al. Tip-burn stress detection of lettuce canopy grown in Plant Factories
Choi et al. Self-supervised representation learning for reliable robotic monitoring of fruit anomalies
Thakuria et al. Improving the network architecture of YOLOv7 to achieve real-time grading of canola based on kernel health
Xu et al. Automatic quantification and assessment of grouped pig movement using the XGBoost and YOLOv5s models
Sun et al. Basic behavior recognition of yaks based on improved SlowFast network
Saleh et al. Prawn morphometrics and weight estimation from images using deep learning for landmark localization
Chen et al. Developing an automatic warning system for anomalous chicken dispersion and movement using deep learning and machine learning
Raja Kumar et al. Novel segmentation and classification algorithm for detection of tomato leaf disease
Ehsan et al. Broiler-Net: A Deep Convolutional Framework for Broiler Behavior Analysis in Poultry Houses
Mei et al. SiamFCA: A new fish single object tracking method based on siamese network with coordinate attention in aquaculture
Tu et al. Tracking and monitoring of individual pig behavior based on YOLOv5-Byte
Nasiri et al. An automated video action recognition-based system for drinking time estimation of individual broilers
Marks et al. Deep-learning based identification, pose estimation and end-to-end behavior classification for interacting primates and mice in complex environments
Ju et al. Video tracking to monitor turkey welfare
Escamilla et al. Maturity recognition and fruit counting for sweet peppers in greenhouses using deep learning neural networks
Molapo et al. Management and monitoring of livestock in the farm using deep learning