Paper Info
Title
Real-Time Finger Tracking With Improved Performance In Video Sequences With Motion Blur
Abstract
In this paper we propose a new algorithm for finger detection and tracking in video sequences captured with a common webcam. The proposed method uses a multi cue approach to achieve finger detection. Background subtraction and skin color segmentation are used prior to generating a sparse image representation based on line strip features. A multilayer processing is applied to the line strips in order to obtain quasi continuous clusters that can be identified as finger candidates. The tracking algorithm was tested in various challenging situations showing outstanding performance with motion blurred images and good performances with scale changes and occlusion handling. The proposed algorithm has a computationally effective architecture and is able to run in real-time.
Year
DOI
Venue
2015
10.1109/TSP.2015.7296467
2015 38TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP)
Keywords
Field
DocType
Hand/Finger Tracking, Multi-Cue Tracking, Gesture-Based User Interfaces, Human Computer Interaction
Background subtraction,Computer vision,Segmentation,Computer science,Finger tracking,Motion blur,Sparse image,STRIPS,Finger detection,Video tracking,Artificial intelligence
Conference
Citations 
PageRank 
References 
1
0.36
13
Authors
3
Name
Order
Citations
PageRank
Daniel Popa1144.10
Vasile Gui2274.34
Marius Otesteanu3105.29