Reducing Motion Artifacts in Mobile Vision Systems via Dynamic Filtering of Image Sequences

Walter, Christoph; Penzlin, Felix; Elkmann, Norbert

doi:10.1007/978-3-642-01213-6_12

Cited by 2 publications

(1 citation statement)

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“…This queuing scheme allows maximization of processor utilization while the current queue length is a good indication of system load. A more detailed discussion of the mechanisms used can be found in [4]. In order to prevent the queue from growing indefinitely, we select images to be thrown away based on a normalized image quality estimate calculated by integrating the systems rotation rate during image exposure (see Figure 3.…”

Section: B Mechanismsmentioning

confidence: 99%

A QoS enabled visual sensor-system applied to the problem of localizing mobile platforms in indoor environments

Walter

Schulenburg

Poggendorf

et al. 2011

2011 IEEE SENSORS Proceedings

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Here we present a sensor-system that integrates two low cost CMOS cameras, LED illumination, 3-axis MEMS gyroscopes and accelerometers, and a data processing node in a compact shell. The sensor-system supports different modes of operation including incremental position tracking, visual self localization and mapping, inertial navigation, pose estimation using artificial landmarks, as well as combinations of the mentioned techniques depending on application scenario and environment conditions. In contrast to existing work we use the output of the inertial measurement unit not only to provide estimates on the systems pose but also to suppress camera output during unfavorable movement thus improving the performance of image processing while reducing utilization of overall system resources, resulting in a dynamically adapting quality of service

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Section: B Mechanismsmentioning

confidence: 99%