Uke, 2012 - Google Patents
Cultivating research in computer vision within graduates and post-graduates using open sourceUke, 2012
View HTML- Document ID
- 17759735161601679978
- Author
- Uke N
- Publication year
External Links
Snippet
In this paper we discuss suitability of the using an open source environment; OpenCV for providing effective solutions for complex image processing and vision algorithm for real time application for UG and PG students projects. Computer Vision (CV) applications require …
- 238000011160 research 0 title description 14
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
- G06K9/62—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
- 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
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
-
- 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
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B19/00—Teaching not covered by other main groups of this subclass
-
- 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
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B23/00—Models for scientific, medical, or mathematical purposes, e.g. full-sized devices for demonstration purposes
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Mahadevkar et al. | A review on machine learning styles in computer vision—techniques and future directions | |
| Borrego-Carazo et al. | Resource-constrained machine learning for ADAS: A systematic review | |
| Areeb et al. | Helping hearing-impaired in emergency situations: A deep learning-based approach | |
| Ghanimi et al. | An open-source MP+ CNN+ BiLSTM model-based hybrid model for recognizing sign language on smartphones | |
| Jiang et al. | Hierarchical multi-modal fusion FCN with attention model for RGB-D tracking | |
| Li et al. | Towards knowledge-driven autonomous driving | |
| Wahab et al. | Design and implementation of real-time object detection system based on single-shoot detector and OpenCV | |
| Farhan et al. | A real-time data mining approach for interaction analytics assessment: IoT based student interaction framework | |
| Bogdoll et al. | Perception datasets for anomaly detection in autonomous driving: A survey | |
| Qi et al. | Learning temporal information and object relation for zero-shot action recognition | |
| Sabeti | Advancing safety in roadway work zones with worker-centred augmented reality: assessing the feasibility, usability, and effectiveness of AR-enabled warning systems | |
| Uke et al. | Cultivating research in computer vision within graduates and post-graduates using open source | |
| Chang et al. | [Retracted] Visual Sensing Human Motion Detection System for Interactive Music Teaching | |
| Nanjundan et al. | Applications of deep learning-based methods on surveillance video stream by tracking various suspicious activities | |
| Mukabe et al. | Object detection and classification using machine learning techniques: A comparison of haar cascades and neural networks | |
| Yan et al. | [Retracted] Dance Action Recognition Model Using Deep Learning Network in Streaming Media Environment | |
| Manasa Devi et al. | Automated text detection from big data scene videos in higher education: a practical approach for MOOCs case study | |
| Devi et al. | A dataset of single-hand gestures of Sattriya dance | |
| Zhang | Behavior recognition algorithm based on a dual-stream residual convolutional neural network | |
| Verma et al. | Data Science: Theory, Algorithms, and Applications | |
| Wang | Anomaly detection in video surveillance | |
| AnnanNaidu et al. | Computer vision–based malpractice detection system | |
| Hong et al. | An interactive logistics centre information integration system using virtual reality | |
| Dai et al. | Classroom Behavior Recognition Through Joint Improvement of Faster RCNN Algorithm Under the Construction of Smart Education | |
| Korakakis et al. | A short survey on modern virtual environments that utilize AI and synthetic data |