Broggi et al., 2004 - Google Patents
A multi-resolution approach for infrared vision-based pedestrian detectionBroggi et al., 2004
View PDF- Document ID
- 11168694942174755930
- Author
- Broggi A
- Fascioli A
- Carletti M
- Graf T
- Meinecke M
- Publication year
- Publication venue
- IEEE Intelligent Vehicles Symposium, 2004
External Links
Snippet
This paper presents the improvements of a system for pedestrian detection in infrared images. The system is based on a multi-resolution localization of warm symmetrical objects with specific size and aspect ratio; the multi-resolution approach allows to detect both close …
- 238000001514 detection method 0 title abstract description 39
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
- G06K9/00805—Detecting potential obstacles
-
- 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
-
- 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
- G06K9/00362—Recognising human body or animal bodies, e.g. vehicle occupant, pedestrian; Recognising body parts, e.g. hand
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- 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
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Broggi et al. | A multi-resolution approach for infrared vision-based pedestrian detection | |
| Nabati et al. | Centerfusion: Center-based radar and camera fusion for 3d object detection | |
| Suhr et al. | Automatic parking space detection and tracking for underground and indoor environments | |
| Qian et al. | Robust multimodal vehicle detection in foggy weather using complementary lidar and radar signals | |
| Bertozzi et al. | Pedestrian detection for driver assistance using multiresolution infrared vision | |
| Bertozzi et al. | Obstacle detection and classification fusing radar and vision | |
| Du et al. | Comprehensive and practical vision system for self-driving vehicle lane-level localization | |
| Bertozzi et al. | Pedestrian detection by means of far-infrared stereo vision | |
| EP1361543B1 (en) | Determining object motion from optical flow analysis | |
| EP3594902B1 (en) | Method for estimating a relative position of an object in the surroundings of a vehicle and electronic control unit for a vehicle and vehicle | |
| US20050232463A1 (en) | Method and apparatus for detecting a presence prior to collision | |
| Zhou et al. | Moving object detection and segmentation in urban environments from a moving platform | |
| Huang et al. | Tightly-coupled LIDAR and computer vision integration for vehicle detection | |
| Bertozzi et al. | IR pedestrian detection for advanced driver assistance systems | |
| CN108021899A (en) | Vehicle intelligent front truck anti-collision early warning method based on binocular camera | |
| Dai et al. | Enhanced Object Detection in Autonomous Vehicles through LiDAR—Camera Sensor Fusion. | |
| Fregin et al. | Three ways of using stereo vision for traffic light recognition | |
| Mehtab et al. | 3D vehicle detection using cheap LiDAR and camera sensors | |
| Kim et al. | An intelligent and integrated driver assistance system for increased safety and convenience based on all-around sensing | |
| Müller et al. | Multi-camera system for traffic light detection: About camera setup and mapping of detections | |
| Ma et al. | A real time object detection approach applied to reliable pedestrian detection | |
| EP3168779A1 (en) | Method for identifying an incoming vehicle and corresponding system | |
| Li et al. | Dynamic Semantic SLAM Based on Panoramic Camera and LiDAR Fusion for Autonomous Driving | |
| Ma et al. | Pedestrian detection using a single-monochrome camera | |
| Su et al. | An asymmetric radar-camera fusion framework for autonomous driving |