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PCM
2004
Springer
127views Multimedia» more  PCM 2004»
15 years 3 months ago
Using a Non-prior Training Active Feature Model
This paper presents a feature point tracking algorithm using optical flow under the non-prior training active feature model (NPTAFM) framework. The proposed algorithm mainly focus...
Sangjin Kim, Jinyoung Kang, Jeongho Shin, Seongwon...
ISMAR
2008
IEEE
15 years 4 months ago
Multiple 3D Object tracking for augmented reality
We present a method that is able to track several 3D objects simultaneously, robustly, and accurately in real-time. While many applications need to consider more than one object i...
Youngmin Park, Vincent Lepetit, Woontack Woo
ICIP
2004
IEEE
15 years 11 months ago
A probabilistic cooperation between trackers of coupled objects
Much work has been done in the field of visual object tracking, yielding a wide range of trackers, including ones aimed for multiple objects. In many cases, there may be a couplin...
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
VMV
2008
116views Visualization» more  VMV 2008»
14 years 11 months ago
A GPU-accelerated particle filter with pixel-level likelihood
We present in this paper a GPU-accelerated particle filter based on pixel-level segmentation and matching, for real-time object tracking. The proposed method achieves real-time pe...
Claus Lenz, Giorgio Panin, Alois Knoll
ICPR
2004
IEEE
15 years 11 months ago
Kernel-Based Method for Tracking Objects with Rotation and Translation
This paper addresses the issue of tracking translation and rotation simultaneously. Starting with a kernel-based spatial-spectral model for object representation, we define an ?-n...
Haihong Zhang, Liyuan Li, Weimin Huang, Zhiyong Hu...