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PCM
2004
Springer
127views Multimedia» more  PCM 2004»
15 years 10 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 11 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
16 years 6 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»
15 years 6 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
16 years 5 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...