We describe a method for user tracking and localization based on textile capacitive sensor arrays placed under the floor. The sensor array is a commercial product (SensFloor R ) that can be installed under any standard floor type (from carpet to stone) and is able to detect objects (including the user's foot) being placed on it. The challenges addressed in this paper are (1) how to map sequences of such signals onto user trajectories and (2) how to correlate the steps detected by the SensFloor system with the step detection based on a wearable accelerometer as means of user identification. Footstep detection is performed online on the devices, which are seamlessly integrated with the floor's wireless sensor network. Initial experiments performed over a week in a real life office environment show the ability to track multiple humans and to identify up to three users walking in a narrow corridor at the same time.

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The SensFloor® is a textile-based large-area sensor system which is installed beneath the floor. It is able to detect people moving across the floor, calculating their trajectories and distinguishes between foot steps and a fall. It enables a variety of different applications like control of automatic doors, intrusion alarm and activity monitoring.

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Abstruct-Monitoring the lateral and rear lane is required for several car vision applications like a blind-spot detection, an overtake checker, a lane change assistant or a door-opener assistant. For these applications a general motion based approach for object detection and tracking in real-time is presented. The approach requires no camera calibration and does not depend on lane detection or model based object detection.

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