16 search results - page 2 / 4 » Tracking a firefly - a stable likelihood estimation for vari... |
ICCV
2009
IEEE
13 years 2 months ago
2009
IEEE
Most motion-based tracking algorithms assume that objects undergo rigid motion, which is most likely disobeyed in real world. In this paper, we present a novel motionbased trackin...
CVPR
2004
IEEE
14 years 7 months ago
2004
IEEE
Most tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework called Hidden Markov Model, where the distribution of the object state a...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
This paper deals with the 3D shape estimation from silhouette cues of multiple moving objects in general indoor or outdoor 3D scenes with potential static obstacles, using multipl...
JMM2
2006
13 years 5 months ago
2006
Abstract-- In this paper, we present a clustering-based tracking algorithm for tracking people (e.g. hand, head, eyeball, body, and lips). It is always a challenging task to track ...
ICCV
2003
IEEE
14 years 7 months ago
2003
IEEE
This paper proposes a switching hypothesized measurements (SHM) model supporting multimodal probability distributions and presents the application of the model in handling potenti...