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Titlebook: Computer Vision Systems; Second International Bernt Schiele,Gerhard Sagerer Conference proceedings 2001 Springer-Verlag Berlin Heidelberg 2

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https://doi.org/10.1007/978-3-030-52832-4 As an example multi-cue tracking of faces is discussed. The approach is based on the principles of self-organization of the integration mechanism and self-adaptation of the cue models during tracking. Experiments show that the robustness of simple models is leveraged significantly by sensor and model integration.
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A Vision System for Autonomous Ground Vehicles with a Wide Range of Maneuvering Capabilitiesentation and a hierarchical system architecture allow efficient activation and control of behavioral capabilities for perception and action. The system has been implemented on commercial off-the-shelf (COTS) hardware components in both UBM test vehicles. Results from autonomous turn-off maneuvers, performed on army proving grounds, are discussed.
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Towards Robust Multi-cue Integration for Visual Tracking As an example multi-cue tracking of faces is discussed. The approach is based on the principles of self-organization of the integration mechanism and self-adaptation of the cue models during tracking. Experiments show that the robustness of simple models is leveraged significantly by sensor and model integration.
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Number of Children and Professions,chanisms; and c) a concrete software implementation of the above that allows construction of interactive vision applications. We illustrate how a variety of vision techniques and approaches can be modeled by the proposed framework and we present several complex, application oriented, experimental results.
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https://doi.org/10.1007/978-3-030-52832-4ipulation, and navigation tasks. In previous publications, the Perceptive Workbench has demonstrated its utility for a variety of applications, including augmented reality gaming and terrain navigation. This paper will focus on the implementation and performance aspects and will introduce recent enhancements to the system.
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