Milla et al., 2010 - Google Patents
Computer vision techniques for background modelling in urban traffic monitoringMilla et al., 2010
View PDF- Document ID
- 10501005064339683403
- Author
- Milla J
- Toral S
- Vargas M
- Barrero F
- Publication year
- Publication venue
- Urban Transport and Hybrid Vehicles
External Links
Snippet
Traffic data collection is an essential issue for road-traffic control departments, which need real-time information for traffic-parameter estimation: road-traffic intensity, lane occupancy, congestion level, estimation of journey times, etc., as well as for early incident detection. This …
- 238000000034 method 0 title abstract description 34
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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
-
- 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
- G06T2207/10024—Color 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
- G06K9/36—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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
-
- 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
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Vargas et al. | An enhanced background estimation algorithm for vehicle detection in urban traffic scenes | |
GB2508069B (en) | Method for stop sign law enforcement using motion vectors in video streams | |
Wang | Real-time moving vehicle detection with cast shadow removal in video based on conditional random field | |
Bouwmans et al. | Statistical background modeling for foreground detection: A survey | |
Shah et al. | Video background modeling: recent approaches, issues and our proposed techniques | |
del Postigo et al. | Vacant parking area estimation through background subtraction and transience map analysis | |
US7418134B2 (en) | Method and apparatus for foreground segmentation of video sequences | |
CN102592138A (en) | Object tracking method for intensive scene based on multi-module sparse projection | |
WO2020000382A1 (en) | Motion-based object detection method, object detection apparatus and electronic device | |
US20060204036A1 (en) | Method for intelligent video processing | |
Hu et al. | A novel approach for crowd video monitoring of subway platforms | |
Yang et al. | Traffic flow estimation and vehicle‐type classification using vision‐based spatial–temporal profile analysis | |
KR102159954B1 (en) | Method for establishing region of interest in intelligent video analytics and video analysis apparatus using the same | |
Jodoin et al. | Modeling background activity for behavior subtraction | |
Vibha et al. | Dynamic object detection, tracking and counting in video streams for multimedia mining | |
Hedayati et al. | A qualitative and quantitative comparison of real-time background subtraction algorithms for video surveillance applications | |
Wang | Joint random field model for all-weather moving vehicle detection | |
Jenifa et al. | Rapid background subtraction from video sequences | |
KR et al. | Moving vehicle identification using background registration technique for traffic surveillance | |
Milla et al. | Computer vision techniques for background modelling in urban traffic monitoring | |
KR20200060868A (en) | multi-view monitoring system using object-oriented auto-tracking function | |
Lee et al. | Multiple moving object segmentation using motion orientation histogram in adaptively partitioned blocks for high-resolution video surveillance systems | |
Milla et al. | Dual‐rate background subtraction approach for estimating traffic queue parameters in urban scenes | |
Hedayati et al. | Real-time background subtraction for video surveillance: From research to reality | |
Jalal et al. | A framework for background modelling and shadow suppression for moving object detection in complex wavelet domain |