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Quality aware feature selection for video object tracking
Roger Gomez Nieto
, Hernan Dario Benitez Restrepo
, José Francisco Ruiz-Muñoz
Department of Electronics and Computer Science
Research Group Automatics and Robotics (GAR)
Universidad Javeriana
University of Florida
Research output
:
Contribution to journal
›
Conference article
›
peer-review
2
Scopus citations
Overview
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Keyphrases
Feature Selection
100%
Quality-aware Features
100%
Video Object Tracking
100%
Tracking Performance
75%
Occlusion
50%
Natural Scene Statistics
50%
Post-capture
50%
Statistical Features
25%
Area under the Curve
25%
Salt-and-pepper
25%
Video Tracking
25%
Video Quality
25%
Traditional Notion
25%
Video Tracker
25%
Object Shape
25%
MPEG-4
25%
Clear Distinction
25%
INIS
performance
100%
capture
75%
statistics
50%
levels
25%
design
25%
size
25%
implementation
25%
images
25%
speed
25%
transmission
25%
salts
25%
compression
25%
shape
25%
processing
25%
curves
25%
peppers
25%
Computer Science
Feature Selection
100%
Tracking Object
100%
Feature Extraction
100%
MPEG
25%
Engineering
Feature Extraction
100%
Natural Scene
100%
MPEG
50%
Object Shape
50%