Paper Title:
An Improved Adaptive Kernel-Based Object Tracking
  Abstract

Kernel-based density estimation technique, especially Mean-shift based tracking technique, is a successful application to target tracking, which has the characteristics such as with few parameters, robustness, and fast convergence. However, classic Mean-shift based tracking algorithm uses fixed kernel-bandwidth, which limits the performance when the target’s orientation and scale change. An Improved adaptive kernel-based object tracking is proposed, which extend 2-dimentional mean shift to 3-dimentional, meanwhile combine multiple scale theory into tracking algorithm. Such improvements can enable the algorithm not only track zooming objects, but also track rotating objects. The experimental results validate that the new algorithm can adapt to the changes of orientation and scale of the target effectively.

  Info
Periodical
Advanced Materials Research (Volumes 383-390)
Chapter
Chapter 30: Automation, Mechatronics and Robotics
Edited by
Wu Fan
Pages
7588-7594
DOI
10.4028/www.scientific.net/AMR.383-390.7588
Citation
Z. H. Liu, L. Han, "An Improved Adaptive Kernel-Based Object Tracking", Advanced Materials Research, Vols. 383-390, pp. 7588-7594, 2012
Online since
November 2011
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Price
$32.00
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