A general Bayesian algorithm for visual object tracking based on sparse features.
Mauricio Soto AlvarezCarlo S. RegazzoniPublished in: ICASSP (2011)
Keyphrases
- learning algorithm
- dynamic programming
- k means
- computational complexity
- search space
- visual object tracking
- decision trees
- objective function
- np hard
- detection algorithm
- posterior probability
- extracted features
- bayesian networks
- optimal solution
- data sets
- special case
- low level
- image processing
- multiple instance learning