772 search results - page 2 / 155 » Novel Observation Model for Probabilistic Object Tracking |
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
In this paper, we study the use of optical flow as a characteristic for tracking. We analyze the behavior of three flowbased observation models for particle filter algorithms, and...
FGR
2011
IEEE
12 years 8 months ago
2011
IEEE
— In many visual multi-object tracking applications, the question when to add or remove a target is not trivial due to, for example, erroneous outputs of object detectors or obse...
ICMI
2005
Springer
13 years 10 months ago
2005
Springer
Tracking speakers in multiparty conversations constitutes a fundamental task for automatic meeting analysis. In this paper, we present a probabilistic approach to jointly track th...
CVPR
2009
IEEE
14 years 12 months ago
2009
IEEE
We propose a novel approach to designing algorithms for
object tracking based on fusing multiple observation models.
As the space of possible observation models is too large
for...
MVA
2007
13 years 4 months ago
2007
The majority of existing tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework using a Hidden Markov Model, where the distribution ...