Paper Info
Title
Estimation of 2d motion trajectories from video object planes and its application in hand gesture recognition
Abstract
Hand gesture recognition from visual images finds applications in areas like human computer interaction, machine vision, virtual reality and so on. Vision-based hand gesture recognition involves visual analysis of hand shape, position and/or movement. In this paper, we present a model-based method for tracking hand motion in a complex scene, thereby estimating the hand motion trajectory. In our proposed technique, we first segment the frames into video object planes (VOPs) with the hand as the video object. This is followed by hand tracking using Hausdorff tracker. In the next step, the centroids of all VOPs are calculated using moments as well as motion information. Finally, the hand trajectory is estimated by joining the VOP centroids. In our experiment, the proposed trajectory estimation algorithm gives about 99% accuracy in finding the actual trajectory.
Year
DOI
Venue
2005
10.1007/11590316_80
PReMI
Keywords
Field
DocType
hand gesture recognition,motion information,hand tracking,actual trajectory,hand trajectory,hand motion trajectory,hand motion,video object plane,hand shape,proposed trajectory estimation algorithm,vision-based hand gesture recognition,human computer interaction,machine vision,virtual reality,visual analysis
Computer vision,Virtual reality,Machine vision,Pattern recognition,Computer science,Gesture recognition,Artificial intelligence,Hausdorff space,Trajectory,Centroid,Motion vector,Shape analysis (digital geometry)
Conference
Volume
ISSN
ISBN
3776
0302-9743
3-540-30506-8
Citations 
PageRank 
References 
6
0.53
6
Authors
3
Name
Order
Citations
PageRank
M. K. Bhuyan1203.78
D. Ghosh2183.32
P. K. Bora35710.33