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NIPS
2004
15 years 7 months ago
Incremental Learning for Visual Tracking
Most existing tracking algorithms construct a representation of a target object prior to the tracking task starts, and utilize invariant features to handle appearance variation of...
Jongwoo Lim, David A. Ross, Ruei-Sung Lin, Ming-Hs...
ICDE
1995
IEEE
139views Database» more  ICDE 1995»
16 years 7 months ago
Set-Oriented Mining for Association Rules in Relational Databases
We describe set-oriented algorithms for mining association rules. Such algorithms imply performing multiple joins and may appear to be inherently less escient than special-purpose...
Maurice A. W. Houtsma, Arun N. Swami
ICIP
2001
IEEE
16 years 8 months ago
Visual tracking of jellyfish in situ
Marine biologists desire an automated system for observing gelatinous zooplankton. This study represents the first attempt at real-time robotic tracking of a gelatinous animal in ...
Jason Rife, Stephen M. Rock
ICPR
2002
IEEE
16 years 7 months ago
Automatic Visual Recognition of Armed Robbery
We propose a method by which to analyze silhouettes and recognize a classic holdup position of armed robbery. In such a situation, one actor levels his or her arm while another ac...
Jaime Dever, Niels da Vitoria Lobo, Mubarak Shah
ACCV
2007
Springer
15 years 10 months ago
Motion Observability Analysis of the Simplified Color Correlogram for Visual Tracking
Abstract. Compared with the color histogram, where the position information of each pixel is ignored, a simplified color correlogram (SCC) representation encodes the spatial inform...
Qi Zhao, Hai Tao