[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

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6201Matching; Proximity measures
    • G06K9/6202Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10016Video; Image sequence
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30196Human being; Person
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/20Image acquisition

Similar Documents

Publication Publication Date Title
Xu et al. Mid-fusion: Octree-based object-level multi-instance dynamic slam
Zhang et al. VDO-SLAM: A visual dynamic object-aware SLAM system
US10915731B2 (en) Detecting objects in video data
Dai et al. RGB-D SLAM in dynamic environments using point correlations
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
Gauglitz et al. Live tracking and mapping from both general and rotation-only camera motion
Sahili et al. A survey of visual SLAM methods
Einhorn et al. Attention-driven monocular scene reconstruction for obstacle detection, robot navigation and map building
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
Canovas et al. Onboard dynamic RGB‐D simultaneous localization and mapping for mobile robot navigation
Munguía et al. Monocular SLAM for visual odometry: A full approach to the delayed inverse‐depth feature initialization method
Gonzalez et al. S 3 LAM: Structured Scene SLAM
Miksik et al. Incremental dense multi-modal 3d scene reconstruction
Sun et al. A real-time visual SLAM based on semantic information and geometric information in dynamic environment
Judd Unifying motion segmentation, estimation, and tracking for complex dynamic scenes
Okada et al. Virtual fashion show using real-time markerless motion capture
Kundu et al. Realtime moving object detection from a freely moving monocular camera
Kaveti et al. Towards robust VSLAM in dynamic environments: a light field approach
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
Jatesiktat et al. Sdf-net: Real-time rigid object tracking using a deep signed distance network