Vision systems with the human in the loop

Bauckhage, Christian and Hanheide, Marc and Wrede, Sebastian and Kaster, Thomas and Pfeiffer, Michael and Sagerer, Gerhard (2005) Vision systems with the human in the loop. EURASIP Journal on Applied Signal Processing, 14 . pp. 2375-2390. ISSN 1110-8657

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Official URL: http://dx.doi.org/10.1155/ASP.2005.2375

Abstract

The emerging cognitive vision paradigm deals with vision systems that apply machine learning and automatic reasoning in order to learn from what they perceive. Cognitive vision systems can rate the relevance and consistency of newly acquired knowledge, they can adapt to their environment and thus will exhibit high robustness. This contribution presents vision systems that aim at flexibility and robustness. One is tailored for content-based image retrieval, the others are cognitive vision systems that constitute prototypes of visual active memories which evaluate, gather, and integrate contextual knowledge for visual analysis. All three systems are designed to interact with human users. After we will have discussed adaptive content-based image retrieval and object and action recognition in an office environment, the issue of assessing cognitive systems will be raised. Experiences from psychologically evaluated human-machine interactions will be reported and the promising potential of psychologically-based usability experiments will be stressed.

Item Type:Article
Additional Information:The emerging cognitive vision paradigm deals with vision systems that apply machine learning and automatic reasoning in order to learn from what they perceive. Cognitive vision systems can rate the relevance and consistency of newly acquired knowledge, they can adapt to their environment and thus will exhibit high robustness. This contribution presents vision systems that aim at flexibility and robustness. One is tailored for content-based image retrieval, the others are cognitive vision systems that constitute prototypes of visual active memories which evaluate, gather, and integrate contextual knowledge for visual analysis. All three systems are designed to interact with human users. After we will have discussed adaptive content-based image retrieval and object and action recognition in an office environment, the issue of assessing cognitive systems will be raised. Experiences from psychologically evaluated human-machine interactions will be reported and the promising potential of psychologically-based usability experiments will be stressed.
Keywords:Robotics, Human-robot interaction, Cameras, Humanoid robots, Real time systems, Robot sensing systems, Robot vision systems, Adaption, oaopen
Subjects:H Engineering > H670 Robotics and Cybernetics
Divisions:College of Science > School of Computer Science
ID Code:6744
Deposited By: Marc Hanheide
Deposited On:02 Nov 2012 11:41
Last Modified:29 May 2014 08:30

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