Learning task-specific object recognition and scene understanding

Tom Drummond, Terry Caelli

Research output: Contribution to journalArticleResearchpeer-review

6 Citations (Scopus)


In this paper, we present an approach to object recognition and scene understanding which integrates low-level image processing and high-level knowledge-based components. A novel machine learning system is presented which is used to acquire knowledge relating to a specific task. Learned feedback from high-level to low-level processes is introduced as a means of achieving robust task-specific segmentation. The system has been implemented and trained on a number of scenarios with differing tasks from which results are presented and discussed.

Original languageEnglish
Pages (from-to)315-348
Number of pages34
JournalComputer Vision and Image Understanding
Issue number3
Publication statusPublished - 1 Jan 2000
Externally publishedYes

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