Miranda Krekovic

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We study the problem of simultaneously reconstructing a polygonal room and a trajectory of a device equipped with a (nearly) collocated omnidirectional source and receiver. The device measures arrival times of echoes of pulses emitted by the source and picked up by the receiver. No prior knowledge about the device’s trajectory is required. Most existing(More)
We address the problem of jointly localizing a robot in an unknown room and estimating the room geometry from echoes. Unlike earlier work using echoes, we assume a completely autonomous setup with (near) collocated microphone and the acoustic source. We first introduce a simple, easy to analyze estimator, and prove that the sequence of room and trajectory(More)
In this paper we present a method for real-time detection of human fall from video for support of elderly people living alone in their homes. The detection algorithm has four steps: background estimation, extraction of moving objects, motion feature extraction, and fall detection. The detection is based on features that quantify dynamics of human motion and(More)
We study simultaneous localization and mapping with a device that uses reflections to measure its distance from walls. Such a device can be realized acoustically with a synchronized collocated source and receiver; it behaves like a bat with no capacity for directional hearing or vocalizing. In this paper we generalize our previous work in 2D, and show that(More)
This paper presents Sound My Vision, an Android application for controlling music expression and multimedia projects. Unlike other similar applications which collect data only from sensors and input devices, Sound My Vision also analyses input video in real time and extracts low-level video features. Such a versatile controller can be used in various(More)
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