Spatial-temporal modeling of interactive image interpretation

Jun Zhou, Li Cheng, Walter F. Bischof

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

We consider the problem of spatial-temporal modeling of interactive image interpretation. The interactive process is composed of a sequential prediction step and a change detection step. Combining the two steps leads to a semi-automatic predictor that can be applied to a time-series, yields good predictions, and requests new human input when a change point is detected. The model can effectively capture changes of image features and gradually adapts to them. We propose an online framework that naturally addresses these problems in a unified manner. Our empirical study with a synthetic data set and a road tracking dataset demonstrate the efficiency of the proposed approach.

Original languageEnglish
Pages (from-to)455-472
Number of pages18
JournalSpatial Vision
Volume22
Issue number5
DOIs
Publication statusPublished - 1 Sept 2009
Externally publishedYes

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