Kirchhof et al., 2006 - Google Patents
Detection of moving objects in airborne thermal videosKirchhof et al., 2006
- Document ID
- 3987691048110273427
- Author
- Kirchhof M
- Stilla U
- Publication year
- Publication venue
- ISPRS Journal of Photogrammetry and Remote Sensing
External Links
Snippet
Thermal infrared cameras have the capability to operate day and night and to display moving objects in image sequences sampled with video frame rate or better. However, compared to standard video in the visual domain, these cameras have disadvantages …
- 238000001514 detection method 0 title abstract description 28
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
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
-
- 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
-
- 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
- G06K9/00791—Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
-
- 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
- G06T2207/20112—Image segmentation details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
- G01S17/88—Lidar systems specially adapted for specific applications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/10—Geometric effects
- G06T15/20—Perspective computation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
- G06T3/0068—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image for image registration, e.g. elastic snapping
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US20180322646A1 (en) | Gaussian mixture models for temporal depth fusion | |
CN104204721B (en) | Single camera distance estimations | |
Caron et al. | Direct model based visual tracking and pose estimation using mutual information | |
Taneja et al. | City-scale change detection in cadastral 3D models using images | |
US7321386B2 (en) | Robust stereo-driven video-based surveillance | |
Li et al. | Automatic registration of panoramic image sequence and mobile laser scanning data using semantic features | |
US20160283774A1 (en) | Cloud feature detection | |
Qu et al. | Landmark based localization in urban environment | |
Meilland et al. | A spherical robot-centered representation for urban navigation | |
Pless et al. | Detecting independent motion: The statistics of temporal continuity | |
You et al. | An accurate and practical calibration method for roadside camera using two vanishing points | |
Wedel et al. | Realtime depth estimation and obstacle detection from monocular video | |
Kirchhof et al. | Detection of moving objects in airborne thermal videos | |
Zhu et al. | Fusion of urban 3D point clouds with thermal attributes using MLS data and TIR image sequences | |
Mariotti et al. | Spherical formulation of geometric motion segmentation constraints in fisheye cameras | |
Romero-Cano et al. | Stereo-based motion detection and tracking from a moving platform | |
Meyer et al. | Accuracy investigation on image-based change detection for BIM compliant indoor models | |
Tang et al. | Content-based 3-D mosaics for representing videos of dynamic urban scenes | |
Braillon et al. | Occupancy grids from stereo and optical flow data | |
Dawood et al. | Virtual 3D city model as a priori information source for vehicle localization system | |
Goyat et al. | Tracking of vehicle trajectory by combining a camera and a laser rangefinder | |
Müller et al. | Robust image registration for fusion | |
Greenhill et al. | Learning the semantic landscape: embedding scene knowledge in object tracking | |
Braillon et al. | Fusion of stereo and optical flow data using occupancy grids | |
Cong et al. | CAOM: Change-aware online 3D mapping with heterogeneous multi-beam and push-broom LiDAR point clouds |