[go: up one dir, main page]

Zhang et al., 2012 - Google Patents

Nonparametric on-line background generation for surveillance video

Zhang et al., 2012

Document ID
16587680265751173864
Author
Zhang R
Gong W
Yaworski A
Greenspan M
Publication year
Publication venue
Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012)

External Links

Snippet

A novel two-stage background generation method is proposed. In the first stage, an intensity- level based statistical approach is employed to identify a variety of background variations. No background training is needed. In the second stage, a background variation based …
Continue reading at ieeexplore.ieee.org (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
    • 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
    • G06K9/00711Recognising video content, e.g. extracting audiovisual features from movies, extracting representative key-frames, discriminating news vs. sport content
    • 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
    • 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
    • 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
    • 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
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/222Studio circuitry; Studio devices; Studio equipment; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, TV cameras, video cameras, camcorders, webcams, camera modules for embedding in other devices, e.g. mobile phones, computers or vehicles

Similar Documents

Publication Publication Date Title
Matern et al. Exploiting visual artifacts to expose deepfakes and face manipulations
Wang et al. CDnet 2014: An expanded change detection benchmark dataset
Jodoin et al. Extensive benchmark and survey of modeling methods for scene background initialization
Bouwmans et al. Scene background initialization: A taxonomy
Kulchandani et al. Moving object detection: Review of recent research trends
US8811663B2 (en) Object detection in crowded scenes
US9299162B2 (en) Multi-mode video event indexing
US8218819B2 (en) Foreground object detection in a video surveillance system
US7190809B2 (en) Enhanced background model employing object classification for improved background-foreground segmentation
De Gregorio et al. Background estimation by weightless neural networks
Hu et al. Robust background subtraction with shadow and highlight removal for indoor surveillance
CN111191535B (en) Pedestrian detection model construction method based on deep learning and pedestrian detection method
US10169661B2 (en) Filtering methods for visual object detection
CN114782859B (en) Method for establishing target behavior perception space-time positioning model and application
Nodehi et al. Multi-metric re-identification for online multi-person tracking
Park et al. A unified approach to background adaptation and initialization in public scenes
Işık et al. CVABS: moving object segmentation with common vector approach for videos
Liu et al. Scene background estimation based on temporal median filter with Gaussian filtering
Haque et al. Perception-inspired background subtraction
Zhang et al. Nonparametric on-line background generation for surveillance video
Li et al. On-the-fly global activity prediction and anomaly detection
Siricharoen et al. Robust outdoor human segmentation based on color-based statistical approach and edge combination
Kong et al. Do Deep-Learning Saliency Models Really Model Saliency?
Joudaki et al. Background subtraction methods in video streams: a review
Wang et al. Multi-scale features fused network with multi-level supervised path for crowd counting