Chmielewska et al., 2015 - Google Patents
Application of the projective geometry in the density mapping based on CCTV monitoringChmielewska et al., 2015
View PDF- Document ID
- 14589159218724184702
- Author
- Chmielewska A
- Marianna P
- Marciniak T
- Dabrowski A
- Walkowiak P
- Publication year
- Publication venue
- 2015 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)
External Links
Snippet
In this paper we address a problem of automatic generation of the so-called density maps (heat maps) using video recordings acquired from surveillance CCTV systems in urban areas (CCTV-closed circuit television). Our software for density map estimation increments …
- 230000001131 transforming 0 abstract description 29
Classifications
-
- 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
- G06T2207/30248—Vehicle exterior or interior
- G06T2207/30252—Vehicle exterior; Vicinity of vehicle
-
- 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
- G06K9/00791—Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
- G06K9/00798—Recognition of lanes or road borders, e.g. of lane markings, or recognition of driver's driving pattern in relation to lanes perceived from the vehicle; Analysis of car trajectory relative to detected road
-
- 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
- G06K9/00791—Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
- G06K9/00805—Detecting potential obstacles
-
- 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
- G06K9/00624—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
- G06T2207/20—Special algorithmic details
-
- 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
- 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
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Hu et al. | Moving object detection and tracking from video captured by moving camera | |
| Ayazoglu et al. | Dynamic subspace-based coordinated multicamera tracking | |
| CN104378582A (en) | Intelligent video analysis system and method based on PTZ video camera cruising | |
| CN107992827A (en) | A kind of method and device of the multiple mobile object tracking based on threedimensional model | |
| Hinz et al. | Car detection in aerial thermal images by local and global evidence accumulation | |
| Yamaguchi et al. | Moving obstacle detection using monocular vision | |
| CN113256731A (en) | Target detection method and device based on monocular vision | |
| Shukla et al. | Speed determination of moving vehicles using Lucas-Kanade algorithm | |
| EP3593322B1 (en) | Method of detecting moving objects from a temporal sequence of images | |
| Cordes et al. | Roadsaw: A large-scale dataset for camera-based road surface and wetness estimation | |
| JP2015055875A (en) | Determining source lane of moving item merging into destination lane | |
| Lira et al. | A computer-vision approach to traffic analysis over intersections | |
| Nielsen et al. | Taking the temperature of pedestrian movement in public spaces | |
| Guido et al. | Vehicle tracking system based on videotaping data | |
| KR100994722B1 (en) | Continuous Object Tracking on Multiple Cameras Using Camera Handoff | |
| Temiz et al. | Real time speed estimation from monocular video | |
| Sincan et al. | Moving object detection by a mounted moving camera | |
| Czyzewski et al. | Examining Kalman filters applied to tracking objects in motion | |
| Chmielewska et al. | Application of the projective geometry in the density mapping based on CCTV monitoring | |
| Bravo et al. | Outdoor vacant parking space detector for improving mobility in smart cities | |
| Ao et al. | Detecting tiny moving vehicles in satellite videos | |
| Haberdar et al. | Disparity map refinement for video based scene change detection using a mobile stereo camera platform | |
| Rahim et al. | An adapted point based tracking for vehicle speed estimation in linear spacing | |
| Wu et al. | Registration-based moving vehicle detection for low-altitude urban traffic surveillance | |
| Vella et al. | Improved detection for wami using background contextual information |