Aljuaid et al., 2023 - Google Patents
Postures anomaly tracking and prediction learning model over crowd data analyticsAljuaid et al., 2023
View HTML- Document ID
- 14395236302543041304
- Author
- Aljuaid H
- Akhter I
- Alsufyani N
- Shorfuzzaman M
- Alarfaj M
- Alnowaiser K
- Jalal A
- Park J
- Publication year
- Publication venue
- PeerJ Computer Science
External Links
Snippet
Innovative technology and improvements in intelligent machinery, transportation facilities, emergency systems, and educational services define the modern era. It is difficult to comprehend the scenario, do crowd analysis, and observe persons. For e-learning-based …
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/00771—Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30781—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F17/30784—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre
- G06F17/30799—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre using low-level visual features of the video content
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce, e.g. shopping or e-commerce
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Manju et al. | RETRACTED ARTICLE: Video analytics for semantic substance extraction using OpenCV in python | |
Zhou et al. | Learning collective crowd behaviors with dynamic pedestrian-agents | |
Hakeem et al. | Video analytics for business intelligence | |
Sjarif et al. | Detection of abnormal behaviors in crowd scene: a review | |
Khan et al. | Advances and trends in real time visual crowd analysis | |
JP7473978B2 (en) | How to classify scenes with subscenes using machine learning | |
Bour et al. | Crowd behavior analysis from fixed and moving cameras | |
Ghadi et al. | Syntactic model-based human body 3D reconstruction and event classification via association based features mining and deep learning | |
Fakhri et al. | A fuzzy decision-making system for video tracking with multiple objects in non-stationary conditions | |
Khan et al. | Classification of human's activities from gesture recognition in live videos using deep learning | |
Elharrouss et al. | Drone-SCNet: Scaled cascade network for crowd counting on drone images | |
Fang et al. | Vision-based traffic accident detection and anticipation: A survey | |
Ezatzadeh et al. | A human fall detection framework based on multi-camera fusion | |
Patel et al. | A study on video semantics; overview, challenges, and applications | |
Höferlin et al. | Uncertainty-aware video visual analytics of tracked moving objects | |
Aljuaid et al. | Postures anomaly tracking and prediction learning model over crowd data analytics | |
Ding et al. | A systematic survey of data mining and big data in human behavior analysis: Current datasets and models | |
CN113869274A (en) | Unmanned aerial vehicle intelligent tracking monitoring method and system based on city management | |
Vayssade et al. | Wizard: Unsupervised goats tracking algorithm | |
Alzahrani et al. | Anomaly detection in crowds by fusion of novel feature descriptors | |
Isupova | Machine learning methods for behaviour analysis and anomaly detection in video | |
Nanjundan et al. | Applications of Deep Learning-Based Methods on Surveillance Video Stream by Tracking Various Suspicious Activities | |
Minh et al. | Vehicle Counting on Vietnamese Street | |
Wang et al. | The Limo-Powered Crowd Monitoring System: Deep Life Modeling for Dynamic Crowd With Edge-Based Information Cognition | |
Narvilas et al. | Human’s behavior tracking in a store using multiple security cameras |