Depth map calculation for a variable number of moving objects using markov sequential object processes.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 18550912.
- Also identified by DOI 10.1109/TPAMI.2008.45.
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Abstract
We advocate the use of Markov sequential object processes for tracking a variable number of moving objects through video frames with a view towards depth calculation. A regression model based on a sequential object process quantifies goodness of fit; regularization terms are incorporated to control within and between frame object interactions. We construct a Markov chain Monte Carlo method for finding the optimal tracks and associated depths and illustrate the approach on a synthetic data set as well as a sport sequence.
Medical subject headings
- Algorithms
- Image Interpretation, Computer-Assisted
- Imaging, Three-Dimensional
- Information Storage and Retrieval
- Markov Chains
- Pattern Recognition, Automated
- Video Recording