IPI
Home
Research
Research Overview
Autonomous Vehicles and Sensor Fusion
Intelligent surveillance and sensor networks
Real-Time Industrial Inspection
GPU accelerated image processing using Quasar
Image and video quality enhancement
Remote Sensing
Medical and biological image processing
Image and video quality assessment
Van Eyck Art work restoration and analysis
Projects
Publications
Team
News
Contact
Vacancies
Doctoral vacancies (English version)
Doctoreren (Nederlandse versie)
Master's Thesis
Internal
Meeting list
Conference list
Links
Publications (Internal)
Real-time hand tracking by invariant hough forest detection
Vincent Spruyt
,
Alessandro Ledda
,
Wilfried Philips
January, 2012
Cite
DOI
Type
Conference paper
Publication
Image Processing (ICIP), 2012 19th IEEE International Conference on
image classification
image colour analysis
learning (artificial intelligence)
object detection
object tracking
particle filtering (numerical methods)
color based cue
color based likelihood function
discriminative random forest classifier
ground truth
invariant Hough forest detection
particle filter
realtime hand tracking approach
rotation invariant detector
scale invariant detector
Color
Detectors
Histograms
Image color analysis
Real-time systems
Skin
Vectors
Hand detection
Hand tracking
Random Forest
Cite
×