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Modeling two-person segmentation and locomotion for stereoscopic action identification: A sustainable video surveillance system
Nida Khalid
,
Munkhjargal Gochoo
, Ahmad Jalal
, Kibum Kim
Department of Computer Science and Software Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
80
Citations (Scopus)
Overview
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Keyphrases
Video Surveillance System
100%
Human Segmentation
100%
Two-person
100%
Action Identification
100%
Human Action Recognition
66%
Nanyang Technological University
66%
Human Action
66%
Geodesic Distance
33%
Intelligent Offices
33%
3D Tracking
33%
Intelligent Home
33%
Point Trajectory
33%
Motion Capture
33%
Cartesian Plane
33%
Hospital at Home
33%
Automatic Recognition System
33%
4-way
33%
Intelligent Hospital
33%
Vision Sensor
33%
Plane Feature
33%
Automatic Tracking System
33%
Green Sensor
33%
Human Tracking
33%
Depth Sensor
33%
Neuro-fuzzy Classifier
33%
Computer Science
video surveillance system
100%
human action recognition
66%
Collective Activity
66%
Geodesic Distance
33%
Trajectory Generation
33%
Point Trajectory
33%