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» Using Histograms to Detect and Track Objects in Color Video
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VR
2002
IEEE
261views Virtual Reality» more  VR 2002»
13 years 10 months ago
VizWear-3D: A Wearable 3-D Annotation System Based on 3-D Object Tracking Using a Condensation Algorithm
We have developed a method for recognizing and tracking known three-dimensional objects in scene images captured from a user’s viewpoint. The method uses multiple color histogra...
Takashi Okuma, Takeshi Kurata, Katsuhiko Sakaue
CVPR
1997
IEEE
13 years 10 months ago
Multi-Modal Tracking of Faces for Video Communications
This paper describes a system which uses multiple visual processes to detect and track faces for video compression and transmission. The system is based on an architecture in whic...
James L. Crowley, François Bérard
FGR
2006
IEEE
112views Biometrics» more  FGR 2006»
13 years 12 months ago
Self Correcting Tracking for Articulated Objects
Hand detection and tracking play important roles in human computer interaction (HCI) applications, as well as surveillance. We propose a self initializing and self correcting trac...
M. Baris Caglar, Niels da Vitoria Lobo
VCIP
2003
192views Communications» more  VCIP 2003»
13 years 7 months ago
Performance measures for video object segmentation and tracking
We propose measures to evaluate the performance of video object segmentation and tracking methods quantitatively without ground-truth segmentation maps. The proposed measures are ...
Çigdem Eroglu Erdem, Bülent Sankur, A....
ICIAP
2005
ACM
14 years 5 months ago
Track Matching by Major Color Histograms Matching and Post-matching Integration
Abstract. In this paper we present a track matching algorithm based on the "major color" histograms matching and the post-matching integration useful for tracking a singl...
Eric Dahai Cheng, Massimo Piccardi