Karishma et al., 2023 - Google Patents
Artificial Intelligence in Video SurveillanceKarishma et al., 2023
- Document ID
- 6974825989421564405
- Author
- Karishma V
- Vigneswaran T
- et al.
- Publication year
- Publication venue
- Handbook of Research on Deep Learning Techniques for Cloud-Based Industrial IoT
External Links
Snippet
Surveillance is an essential component of security, and e-surveillance is one of the primary goals of the Indian Government's Digital India development initiative. Video surveillance offers a wide range of applications to reduce ecological and economic losses and becomes …
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
- G06K9/00778—Recognition or static of dynamic crowd images, e.g. recognition of crowd congestion
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light or radiation of shorter wavelength; Actuation by intruding sources of heat, light or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light or radiation of shorter wavelength; Actuation by intruding sources of heat, light or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light or radiation of shorter wavelength; Actuation by intruding sources of heat, light or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light or radiation of shorter wavelength; Actuation by intruding sources of heat, light or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
-
- 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
- G06K9/20—Image acquisition
- G06K9/32—Aligning or centering of the image pick-up or image-field
- G06K9/3233—Determination of region of interest
- G06K9/3241—Recognising objects as potential recognition candidates based on visual cues, e.g. shape
-
- 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
- G06K9/00711—Recognising video content, e.g. extracting audiovisual features from movies, extracting representative key-frames, discriminating news vs. sport content
-
- 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
- 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
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
-
- 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
- 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
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
-
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Mabrouk et al. | Abnormal behavior recognition for intelligent video surveillance systems: A review | |
Tsakanikas et al. | Video surveillance systems-current status and future trends | |
Bertini et al. | Multi-scale and real-time non-parametric approach for anomaly detection and localization | |
Liu et al. | Intelligent video systems and analytics: A survey | |
Kalsotra et al. | A comprehensive survey of video datasets for background subtraction | |
Kumar et al. | Study of robust and intelligent surveillance in visible and multi-modal framework | |
Tyagi et al. | A review of deep learning techniques for crowd behavior analysis | |
Roy et al. | Suspicious and violent activity detection of humans using HOG features and SVM classifier in surveillance videos | |
Lejmi et al. | Challenges and methods of violence detection in surveillance video: A survey | |
Lalonde et al. | A system to automatically track humans and vehicles with a PTZ camera | |
Nagrath et al. | Understanding new age of intelligent video surveillance and deeper analysis on deep learning techniques for object tracking | |
Teja | Static object detection for video surveillance | |
Asadzadehkaljahi et al. | Spatiotemporal edges for arbitrarily moving video classification in protected and sensitive scenes | |
Santamaria et al. | Cooperative video-surveillance framework in internet of things (IoT) domain | |
Frejlichowski et al. | SmartMonitor: An approach to simple, intelligent and affordable visual surveillance system | |
Murthy et al. | AI Based Criminal Detection and Recognition System for Public Safety and Security using novel CriminalNet-228 | |
Karishma et al. | Artificial Intelligence in Video Surveillance | |
KR101842488B1 (en) | Smart monitoring system applied with patten recognition technic based on detection and tracking of long distance-moving object | |
Zhang et al. | Critical Infrastructure Security Using Computer Vision Technologies | |
Yousif et al. | Object detection from dynamic scene using joint background modeling and fast deep learning classification | |
Ravikumar et al. | Video Surveillance for Intruder Detection and Tracking | |
Vaishnavi et al. | Implementation of Abnormal Event Detection using Automated Surveillance System | |
Mahajan et al. | An Introduction to Deep Learning‐Based Object Recognition and Tracking for Enabling Defense Applications | |
Amato et al. | Neural network based video surveillance system | |
Ahmed et al. | Object Motion Tracking and Detection in Surveillance Videos using Resnet Architecture |