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Abu Dhabi, United Arab Emirates

Patent
Khalifa University | Date: 2014-10-09

There is provided a system for detecting a drowning person within a water body, the system comprising (i) sonar sensors for forming a three dimensional grid of sonar waves within the water body, the grid having three dimensional grid cells; (ii) a movement path tracing unit adapted to be connected to the sonar sensors for tracing a movement path of a person within the water body by determining a sequence of successive grid cells crossed by the person within the grid in the course of said movement path, the determination of the successive grid cells being made based on detected propagation delays of the sonar waves forming the grid; and (iii) a drowning detection unit adapted to be connected to the movement path tracing unit for analysing the movement path of the person and issuing an alarm when the movement path of the person is indicative of a drowning person movement path. There is also provided a kit and method for detecting a drowning person within a water body.


Hardware architecture for real-time extraction of maximally stable extremal regions (MSERs) is disclosed. The architecture includes a communication interface and processing circuitry that are configured in hardware to receive a data stream of an intensity image in real-time and provide labels for image regions within the intensity image that match a given intensity threshold. The communication interface and processing circuitry are also configured in hardware to find extremal regions within the intensity image based upon the labels and to determine MSER ellipses parameters based upon the extremal regions and MSER criteria. In at least one embodiment, the MSER criteria include minimum and maximum MSER areas, and an acceptable growth rate value for MSER area. In another embodiment, the MSER criteria include a nested MSER tolerance value.


Architecture for real-time extraction of maximally stable extremal regions (MSERs) is disclosed. The architecture includes a communication interface and processing circuitry that are configured in hardware to receive a data stream of an intensity image in real-time and provide labels for light image regions and dark image regions within the intensity image that match a given intensity threshold during a single processing pass. The communication interface and processing circuitry are also configured in hardware to find extremal regions within the intensity image based upon the labels and to determine MSER ellipses parameters based upon the extremal regions and MSER criteria. In at least one embodiment, the MSER criteria include minimum and maximum MSER areas, and an acceptable growth rate value for MSER areas. In another embodiment, the MSER criteria include a nested MSER tolerance value.


Architecture for real-time extraction of maximally stable extremal regions (MSERs) is disclosed. The architecture includes communication interface and processing circuitry that is adapted in hardware to receive a data streams of an intensity image and a depth image in real-time and provide intensity labels for image regions within the intensity image that match a given intensity threshold and provide depth labels for image regions within the depth image that match a given depth threshold. The processing circuitry is also adapted in hardware to find intensity extremal regions within the intensity image based upon the intensity labels and to find depth extremal regions within the depth image based upon the depth labels. The processing circuitry determines strong extremal regions based upon significant overlap between the intensity extremal regions and depth extremal regions. The processing circuitry then determines X-MSER ellipses parameters based upon the strong extremal regions and X-MSER criteria.


Patent
Khalifa University, British Telecommunications plc and Emirates Telecommunications Corporation | Date: 2014-09-04

This invention relates to methods and devices for bias estimation and correction, particularly for time-of-arrival (TOA) based wireless geolocation systems. Multipath and non-line-of-sight (NLOS) biases can cause distance estimation errors in the range of tens-hundreds of meters and is particularly problematic in urban and indoor environments. The behaviour of the biases dynamically changes depending on the clutter and/or obstructions between the base station and the mobile device. Aspects of the present invention provide practical real-time bias estimation and correction techniques for TOA-based systems and are based on inferring and estimating the biases from dynamic time differential measurements. The techniques can operate in real-time and involve simple calculations.

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