The Application of Kalman Filtering in the System of Image Difference Moving Objects Tracking

Gui, Jun; Zhang, Tao; Liu, Lijun

doi:10.1109/iccis.2011.273

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Wireless Sensor Network Tracking1

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Cited by 6 publications

(2 citation statements)

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“…• Kalman Filter Tracking. Implement the well known Kalman Filter tracking to persons detected along the images collected [34].…”

Section: Wireless Sensor Network Trackingmentioning

confidence: 99%

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Development of a multi-modal system to provide e-health related services based on indoor positioning

Hernández-Peñaloza¹

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“…• Kalman Filter Tracking. Implement the well known Kalman Filter tracking to persons detected along the images collected [34].…”

Section: Wireless Sensor Network Trackingmentioning

confidence: 99%

“…Diverse proposals have been presented in the literature for indoor tracking [66,34,68,69]. Some works employ theoretical propagation models to estimate the distance in combination with deterministic methods for tracking [34]. However, these propagation models neglect the obstacles, which means a high error rate in estimations.…”

Section: State-fo-the-artmentioning

confidence: 99%

Development of a multi-modal system to provide e-health related services based on indoor positioning

Hernández-Peñaloza¹

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A Multi-Sensor Fusion Scheme to Increase Life Autonomy of Elderly People With Cognitive Problems

et al. 2018

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Acceleration of image filtering algorithms for 3D visualization of murine lungs using dataflow engines

Milankovic

Peulić

Ysasi

et al. 2015

2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE)

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Image filtering is one of the most common and important tasks in image processing applications. In this paper, image processing using a mean filtering algorithm combined with thresholding and binarization algorithms for the 3D visualization and analysis of murine lungs is explained. These algorithms are then mapped on the Maxler's MAX2336B Dataflow Engine (DFE) to significantly increase calculation speed. Several different DFE configurations were tested and each yielded different performance characteristics. Optimal algorithm calculation speed was up to 30 fold baseline calculation speed

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The Application of Kalman Filtering in the System of Image Difference Moving Objects Tracking

Cited by 6 publications

References 4 publications

Development of a multi-modal system to provide e-health related services based on indoor positioning

Development of a multi-modal system to provide e-health related services based on indoor positioning

A Multi-Sensor Fusion Scheme to Increase Life Autonomy of Elderly People With Cognitive Problems

Acceleration of image filtering algorithms for 3D visualization of murine lungs using dataflow engines

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