Nothing Special   »   [go: up one dir, main page]

Chen et al., 2016 - Google Patents

Dust particle detection in traffic surveillance video using motion singularity analysis

Chen et al., 2016

Document ID
3001919203600443556
Author
Chen L
Zhu D
Tian J
Liu J
Publication year
Publication venue
Digital Signal Processing

External Links

Snippet

Dust particle detection in video aims to automatically determine whether the video is degraded by dust particle or not. Dust particles are usually stuck on the camera lends and typically temporally static in the images of a video sequence captured from a dynamic scene …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • 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
    • G06T2207/10Image 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
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30108Industrial image inspection
    • 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
    • G06T2207/10Image acquisition modality
    • G06T2207/10032Satellite or aerial image; Remote sensing
    • 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
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00771Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
    • 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00General purpose image data processing

Similar Documents

Publication Publication Date Title
Hu et al. Moving object detection and tracking from video captured by moving camera
Brasnett et al. Sequential Monte Carlo tracking by fusing multiple cues in video sequences
Lu A multiscale spatio-temporal background model for motion detection
Rout A survey on object detection and tracking algorithms
US20110293190A1 (en) Image processing for change detection
Chen et al. Dust particle detection in traffic surveillance video using motion singularity analysis
Ma et al. Automatic defogging, deblurring, and real-time segmentation system for sewer pipeline defects
Shah et al. A Self-adaptive CodeBook (SACB) model for real-time background subtraction
Łoza et al. Structural similarity-based object tracking in multimodality surveillance videos
Xin et al. A self-adaptive optical flow method for the moving object detection in the video sequences
Huang et al. Motion detection with pyramid structure of background model for intelligent surveillance systems
Lian et al. A novel method on moving-objects detection based on background subtraction and three frames differencing
Woo et al. Environmentally robust motion detection for video surveillance
Luo et al. Modeling and detection of heat haze in computer vision based displacement measurement
Roy et al. Annotation and benchmarking of a video dataset under degraded complex atmospheric conditions and its visibility enhancement analysis for moving object detection
Suganyadevi et al. OFGM-SMED: An efficient and robust foreground object detection in compressed video sequences
Xu et al. Shadow detection and removal in real images: A survey
Zhang et al. Study on moving-objects detection technique in video surveillance system
Chen et al. An adaptive background model initialization algorithm with objects moving at different depths
Tung et al. Why accuracy is not enough: The need for consistency in object detection
Lee et al. Shape-based human detection for threat assessment
Cui et al. A systematic algorithm for moving object detection with application in real-time surveillance
Robinson et al. Foreground segmentation in atmospheric turbulence degraded video sequences to aid in background stabilization
Esfahani et al. Kinect depth recovery based on local filters and plane primitives
Chen et al. Color–depth multi-task learning for object detection in haze