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» Adaptive Background Mixture Models for Real-Time Tracking
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PRICAI
2004
Springer
14 years 1 months ago
Adaptive Model for Foreground Extraction in Adverse Lighting Conditions
Background elimination models are widely used in motion tracking systems. Our aim is to develop a system that performs reliably under adverse lighting conditions. In particular, th...
Stewart Greenhill, Svetha Venkatesh, Geoff A. W. W...
PREMI
2007
Springer
14 years 1 months ago
An Adaptive Bayesian Technique for Tracking Multiple Objects
Abstract. Robust tracking of objects in video is a key challenge in computer vision with applications in automated surveillance, video indexing, human-computer-interaction, gesture...
Pankaj Kumar, Michael J. Brooks, Anton van den Hen...
TIP
2008
157views more  TIP 2008»
13 years 7 months ago
Robust Face Tracking via Collaboration of Generic and Specific Models
Significant appearance changes of objects under different orientations could cause loss of tracking, "drifting." In this paper, we present a collaborative tracking framew...
Peng Wang, Qiang Ji
IJIG
2002
189views more  IJIG 2002»
13 years 7 months ago
Motion Detection from Time-Varied Background
This paper proposes a new background subtraction method for detecting moving objects from a time-varied background. While background subtraction has traditionally worked well for ...
Ying Ren, Chin-Seng Chua, Yeong-Khing Ho
ICVS
2003
Springer
14 years 25 days ago
Efficient Fingertip Tracking and Mouse Pointer Control for a Human Mouse
This paper discusses the design of a working system that visually recognizes hand gestures for the control of a window based user interface. We present a method for tracking the fi...
Jiyoung Park, Juneho Yi