Spatial-temporal modeling of interactive image interpretation

Authors: Zhou, Jun¹; Cheng, Li²; Bischof, Walter F.³

Source: Spatial Vision, Volume 22, Number 5, 2009 , pp. 455-472(18)

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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.

Keywords: IMAGE INTERPRETATION; SEQUENTIAL PREDICTION; ONLINE LEARNING; ADAPTIVE TRACKING

Document Type: Research article

DOI: http://dx.doi.org/10.1163/156856809789476137

Affiliations: 1: National ICT Australia, Canberra, Australia 2: Toyota Technological Institute, Chicago, USA 3: University of Alberta, Edmonton, AB T6G 2E9 Canada. Email: wfb@ualberta.ca

Publication date: 2009-09-01

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