Bandlow et al., 1999 - Google Patents
Fast image segmentation, object recognition and localization in a robocup scenarioBandlow et al., 1999
View PDF- Document ID
- 7760529133125159551
- Author
- Bandlow T
- Klupsch M
- Hanek R
- Schmitt T
- Publication year
- Publication venue
- Robot Soccer World Cup
External Links
Snippet
This paper presents the vision system of the robot soccer team Agilo RoboCuppers—the RoboCup team of the image understanding group (FG BV) at the Technische Universität München. We present a fast and robust color classification method yielding significant …
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
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
-
- 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
- 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
- G06T2207/20112—Image segmentation 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
- G06T2207/30196—Human being; Person
-
- 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
- G06T2207/30004—Biomedical image processing
-
- 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
- G06K9/00624—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
- 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
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
-
- 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
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Bandlow et al. | Fast image segmentation, object recognition and localization in a robocup scenario | |
| Chen et al. | Sports camera calibration via synthetic data | |
| US11443454B2 (en) | Method for estimating the pose of a camera in the frame of reference of a three-dimensional scene, device, augmented reality system and computer program therefor | |
| US9437012B2 (en) | Multiple-object tracking and team identification for game strategy analysis | |
| US8401225B2 (en) | Moving object segmentation using depth images | |
| Choi et al. | A general framework for tracking multiple people from a moving camera | |
| CN110458161B (en) | Mobile robot doorplate positioning method combined with deep learning | |
| US9330307B2 (en) | Learning based estimation of hand and finger pose | |
| US9460339B2 (en) | Combined color image and depth processing | |
| US20150243031A1 (en) | Method and device for determining at least one object feature of an object comprised in an image | |
| Taylor et al. | Fusion of multimodal visual cues for model-based object tracking | |
| Beetz et al. | Visually tracking football games based on TV broadcasts | |
| CN109752855A (en) | A kind of method of hot spot emitter and detection geometry hot spot | |
| Smith | ASSET-2: Real-time motion segmentation and object tracking | |
| Shi et al. | Extrinsic calibration and odometry for camera-LiDAR systems | |
| Taiana et al. | Tracking objects with generic calibrated sensors: An algorithm based on color and 3D shape features | |
| JP2002366958A (en) | Image recognition method and image recognition device | |
| Kang et al. | Direct 3D model-based object tracking with event camera by motion interpolation | |
| Kyrki et al. | Tracking rigid objects using integration of model-based and model-free cues | |
| Bhatia et al. | 3d human limb detection using space carving and multi-view eigen models | |
| Ristić-Durrant et al. | Low-level sensor fusion-based human tracking for mobile robot | |
| Mehmood et al. | Ghost pruning for people localization in overlapping multicamera systems | |
| Penk et al. | DeNos22: A Pipeline to Learn Object Tracking Using Simulated Depth. | |
| Sanusi et al. | Humanoid robosoccer goal detection using hough transform | |
| Langner | Visual Perception for Autonomous Driving |