Fusion of perceptual processes for real-time object tracking

Jüngling, Kai, Arens, Michael, Hanheide, Marc and Sagerer, Gerhard (2008) Fusion of perceptual processes for real-time object tracking. In: 11th International Conference on Information Fusion, June 30 - July 3 2008, Cologne, Germany.

Full content URL: http://dx.doi.org/

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Abstract

This paper introduces a generic architecture for the fusion of perceptual processes and its application in real-time object tracking. In this architecture, the well known anchoring approach is, by integrating techniques from information fusion, extended to multi-modal anchoring so as to be applicable in a multi-process environment. The system architecture is designed to be applicable in a generic way, independent of specific application domains and of the characteristics of the underlying sensory processes. It is shown that, by combining multiple independent video-based detection methods, the generic multi-modal anchoring approach can be successfully employed for real-time person tracking in difficult environments

Additional Information:This paper introduces a generic architecture for the fusion of perceptual processes and its application in real-time object tracking. In this architecture, the well known anchoring approach is, by integrating techniques from information fusion, extended to multi-modal anchoring so as to be applicable in a multi-process environment. The system architecture is designed to be applicable in a generic way, independent of specific application domains and of the characteristics of the underlying sensory processes. It is shown that, by combining multiple independent video-based detection methods, the generic multi-modal anchoring approach can be successfully employed for real-time person tracking in difficult environments
Keywords:Robotics, Human-robot interaction, object detection, sensor fusion, target tracking, video signal processing, generic multimodal anchoring approach, information fusion, multiple independent video-based detection methods, perceptual processes, real-time object tracking, real-time person tracking
Subjects:H Engineering > H670 Robotics and Cybernetics
Divisions:College of Science > School of Computer Science
ID Code:6932
Deposited On:04 Jan 2013 14:42

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