715 search results - page 12 / 143 » A Linear Programming Approach for Multiple Object Tracking |
CVPR
2004
IEEE
14 years 9 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...
BMVC
1998
13 years 9 months ago
1998
We present a Kalman tracking algorithm that can track a number of very small, low contrast objects through an image sequence taken from a static camera. The issues that we have ad...
NIPS
2003
13 years 9 months ago
2003
Learning from ambiguous training data is highly relevant in many applications. We present a new learning algorithm for classification problems where labels are associated with se...
ICLP
2004
Springer
14 years 1 months ago
2004
Springer
The extended answer set semantics for logic programs allows for the defeat of rules to resolve contradictions. We propose a refinement of these semantics based on a preference rel...
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
Most object tracking approaches either assume that the number of objects is constant, or that information about object existence is provided by some external source. Here, we show...