[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Zhu et al., 2022 - Google Patents

A Pose Estimation Method in Dynamic Scene with Yolov5, Mask R-CNN and ORB-SLAM2

Zhu et al., 2022

Document ID
4678897214926472765
Author
Zhu J
Jia Y
Shen W
Qian X
Publication year
Publication venue
2022 7th International Conference on Signal and Image Processing (ICSIP)

External Links

Snippet

Most visual SLAM systems exhibit strong robustness in static scenes. When there are dynamic objects in the scene, these systems tend to treat dynamic objects as static backgrounds for pose estimation, which reduces the accuracy of pose estimation. Based on …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • 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
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • 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
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • G06K9/4604Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
    • G06K9/4609Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections by matching or filtering
    • 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
    • G06T2207/10004Still image; Photographic image
    • G06T2207/10012Stereo images
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • 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
    • 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
    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • 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
Huang et al. Lidar-monocular visual odometry using point and line features
Zhang et al. Ripple-GAN: Lane line detection with ripple lane line detection network and Wasserstein GAN
Kang et al. Detection and tracking of moving objects from a moving platform in presence of strong parallax
CN106204643A (en) Multi-object tracking method based on multiple features combining Yu Mean Shift algorithm
Wen et al. Dynamic slam: A visual slam in outdoor dynamic scenes
CN110555867B (en) Multi-target object tracking method integrating object capturing and identifying technology
CN118115483B (en) Cable defect detection method and system based on large model
CN111882581B (en) Multi-target tracking method for depth feature association
CN111161219B (en) Robust monocular vision SLAM method suitable for shadow environment
Zhang et al. Image sequence segmentation using 3-D structure tensor and curve evolution
Zhu et al. A Pose Estimation Method in Dynamic Scene with Yolov5, Mask R-CNN and ORB-SLAM2
Zhang et al. An optical flow based moving objects detection algorithm for the UAV
CN111179281A (en) Human body image extraction method and human body action video extraction method
CN114463800A (en) Multi-scale feature fusion face detection and segmentation method based on generalized intersection-parallel ratio
Fang et al. Direct Monocular Visual Odometry Based on Lidar Vision Fusion
CN111127355A (en) Method for finely complementing defective light flow graph and application thereof
CN117218195A (en) Simultaneous positioning and mapping method based on point and line feature constraint
Patel et al. Review on identify road potholes using image semantic segmentation for advance driver assistant system
Chen et al. High Precision ORB-SLAM Dense Reconstruction Based on Depth Visual Odometer in Dynamic Environments
Mora et al. Evaluating techniques for accurate 3d object model extraction through image-based deep learning object detection and point cloud segmentation
Wang et al. A novel end-to-end visual odometry framework based on deep neural network
Qian et al. An Improved Pose Estimation Method in Dynamic Scene Based on Hierarchical Masking and Point Features Classification
Upadhyay et al. Lane Line Detection Using Machine Learning
Lin et al. Sparse point-plane odometry in structured environments
Chuang et al. Moving object segmentation and tracking using active contour and color classification models