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Edge Segment-Based Automatic Video Surveillance
M. Julius Hossain
,
M. Ali Akber Dewan
, Oksam Chae
School of Computing and Information systems
Kyung Hee University
Research output
:
Contribution to journal
›
Journal Article
›
peer-review
6
Citations (Scopus)
Overview
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Keyphrases
Edge Matching
100%
Edge Segmentation
100%
Moving Object Segmentation
100%
Segment-based
100%
Intelligent Video Surveillance
100%
Pixel-based
50%
Background Modeling
50%
Edge pixels
50%
Moving Edge
50%
Segmentation Algorithm
50%
Moving Objects
50%
Detection Method
50%
Image Sequence
50%
Real Image
50%
Geometric Information
50%
Experiment Results
50%
High Sensitivity
50%
Illumination Change
50%
Video Surveillance Application
50%
Intensity-based
50%
Background Motion
50%
Monitoring System
50%
Motion Tracking
50%
Video Frames
50%
Camera Motion
50%
False Alarm
50%
Ambient Background
50%
Background Initialization
50%
Object Plane
50%
Edge Information
50%
Ambient Lighting
50%
Video Object
50%
Watershed Algorithm
50%
Computer Science
Video Surveillance
100%
Video Object Plane
50%
Image Sequence
50%
Geometric Information
50%
segmentation algorithm
50%
background modeling
50%
watershed algorithm
50%
Detection Method
50%
Edge Information
50%
Monitoring System
50%
Engineering
Moving Object
100%
Edge Pixel
33%
Real Image
33%
Camera Motion
33%
False Alarm
33%
Object Plane
33%
Monitoring System
33%
Edge Information
33%
Image Sequence
33%