[go: up one dir, main page]

Judd, 2019 - Google Patents

Unifying motion segmentation, estimation, and tracking for complex dynamic scenes

Judd, 2019

View PDF
Document ID
11149268171011288678
Author
Judd K
Publication year

External Links

Snippet

Visual navigation is an critical task in mobile robotics. To navigate through an area, a robot must understand where it is, what is around it, and how to get to its goal. Integral to each of these questions is the task of motion analysis. Estimating the egomotion of a sensor is a well …
Continue reading at ora.ox.ac.uk (PDF) (other versions)

Classifications

    • 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
    • G06T2207/10—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
    • G06K9/62—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
    • 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
    • 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
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • 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
    • G06T2207/30—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
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color 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
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • 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

Similar Documents

Publication Publication Date Title
Zhang et al. VDO-SLAM: A visual dynamic object-aware SLAM system
Xu et al. Mid-fusion: Octree-based object-level multi-instance dynamic slam
Dai et al. RGB-D SLAM in dynamic environments using point correlations
US10915731B2 (en) Detecting objects in video data
Pfreundschuh et al. Dynamic object aware lidar slam based on automatic generation of training data
Huang et al. ClusterSLAM: A SLAM backend for simultaneous rigid body clustering and motion estimation
Scona et al. Staticfusion: Background reconstruction for dense rgb-d slam in dynamic environments
Sahili et al. A survey of visual SLAM methods
Gauglitz et al. Live tracking and mapping from both general and rotation-only camera motion
Park et al. Nonparametric background model-based LiDAR SLAM in highly dynamic urban environments
Song et al. Fusing convolutional neural network and geometric constraint for image-based indoor localization
Singh et al. Fast semantic-aware motion state detection for visual SLAM in dynamic environment
Christensen et al. Sensing and estimation
Canovas et al. Onboard dynamic RGB‐D simultaneous localization and mapping for mobile robot navigation
Gonzalez et al. S 3 LAM: Structured Scene SLAM
Guizilini et al. Semi-parametric learning for visual odometry
Miksik et al. Incremental dense multi-modal 3d scene reconstruction
Judd Unifying motion segmentation, estimation, and tracking for complex dynamic scenes
Okada et al. Virtual fashion show using real-time markerless motion capture
Munguía et al. Monocular SLAM for visual odometry: A full approach to the delayed inverse‐depth feature initialization method
Kundu et al. Realtime moving object detection from a freely moving monocular camera
Ahn et al. Human tracking and silhouette extraction for human–robot interaction systems
Raza et al. Depth extraction from videos using geometric context and occlusion boundaries
Lee et al. Tc-ltio: tightly-coupled lidar thermal inertial odometry for lidar and visual odometry degraded environments
Jatesiktat et al. Sdf-net: Real-time rigid object tracking using a deep signed distance network