Kowsari et al., 2011 - Google Patents
Real-time vehicle detection and tracking using stereo vision and multi-view AdaBoostKowsari et al., 2011
View PDF- Document ID
- 3483309562690829166
- Author
- Kowsari T
- Beauchemin S
- Cho J
- Publication year
- Publication venue
- 2011 14th International IEEE conference on intelligent transportation systems (ITSC)
External Links
Snippet
We propose a multi-layer, real-time vehicle detection and tracking system using stereo vision, multi-view AdaBoost detectors, and optical flow. By adopting a ground plane estimate extracted from stereo information, we generate a sparse set of hypotheses and apply trained …
- 238000001514 detection method 0 title abstract description 46
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
- G06K9/00791—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
- 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
- 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
-
- 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
- G06T2207/10—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
- G06K9/00362—Recognising human body or animal bodies, e.g. vehicle occupant, pedestrian; Recognising body parts, e.g. hand
- G06K9/00369—Recognition of whole body, e.g. static pedestrian or occupant recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K2209/00—Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K2209/23—Detecting or categorising vehicles
-
- 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
- G06T2207/20—Special algorithmic details
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Kowsari et al. | Real-time vehicle detection and tracking using stereo vision and multi-view AdaBoost | |
Sivaraman et al. | A review of recent developments in vision-based vehicle detection | |
Rezaei et al. | Robust vehicle detection and distance estimation under challenging lighting conditions | |
CN103518230B (en) | Method and system for vehicle classification | |
US7747039B2 (en) | Apparatus and method for automatically detecting objects | |
US7660436B2 (en) | Stereo-vision based imminent collision detection | |
US10685212B2 (en) | Three dimensional (3d) object detection | |
EP1606769A2 (en) | System and method for vehicle detection and tracking | |
Muffert et al. | May I enter the roundabout? A time-to-contact computation based on stereo-vision | |
El Bouziady et al. | Vehicle speed estimation using extracted SURF features from stereo images | |
Lefebvre et al. | Vehicle detection and tracking using mean shift segmentation on semi-dense disparity maps | |
US7466860B2 (en) | Method and apparatus for classifying an object | |
US10984264B2 (en) | Detection and validation of objects from sequential images of a camera | |
Ponsa et al. | On-board image-based vehicle detection and tracking | |
Fries et al. | Combining model-and template-based vehicle tracking for autonomous convoy driving | |
Saboune et al. | A visual blindspot monitoring system for safe lane changes | |
Jain et al. | Relative vehicle velocity estimation using monocular video stream | |
Wu et al. | Overtaking Vehicle Detection Techniques based on Optical Flow and Convolutional Neural Network. | |
Choi et al. | Cut-in vehicle warning system exploiting multiple rotational images of SVM cameras | |
Ma et al. | A real time object detection approach applied to reliable pedestrian detection | |
Sadik et al. | Vehicles detection and tracking in advanced & automated driving systems: Limitations and challenges | |
Al-Refai et al. | A framework for background modeling using vehicle-to-infrastructure communication for improved candidate generation in pedestrian detection | |
Sanberg et al. | Asteroids: A stixel tracking extrapolation-based relevant obstacle impact detection system | |
Tourani et al. | Challenges of video-based vehicle detection and tracking in intelligent transportation systems | |
Lee et al. | Hierarchical scheme of vehicle detection and tracking in nighttime urban environment |