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ICMCS
2005
IEEE
92views Multimedia» more  ICMCS 2005»
13 years 10 months ago
Multi-Kernel Object Tracking
In this paper, we present an object tracking algorithm for the low-frame-rate video in which objects have fast motion. The conventional mean-shift tracking fails in case the reloc...
Fatih Porikli, Oncel Tuzel
CVPR
2010
IEEE
14 years 1 months ago
Online-Batch Strongly Convex Multi Kernel Learning
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
Francesco Orabona, Jie Luo, Barbara Caputo
ICIP
2010
IEEE
13 years 2 months ago
Evaluation of on-line quality estimators for object tracking
Failure of tracking algorithms is inevitable in real and online tracking systems. The online estimation of the track quality is therefore desirable for detecting tracking failures...
Juan C. SanMiguel, Andrea Cavallaro, José M...
VIP
2003
13 years 6 months ago
Robust Real-Time Tracking of Non-Rigid Objects
Several approaches to real-time video object tracking are reviewed. A new alternative approach for fast real-time object tracking based on colour thresholding is presented. Tracki...
Richard Y. D. Xu, John G. Allen, Jesse S. Jin