title: Multiple Human Tracking Using Binary Infrared Sensors.
abstract: To create a context-aware environment, human locations and movement paths must be considered. In this paper, we propose an algorithm that tracks human movement paths using only binary sensed data obtained by infrared (IR) sensors attached to the ceiling of a room. Our algorithm can estimate multiple human movement paths without a priori knowledge of the number of humans in the room. By repeating predictions and estimations of human positions and links from the previous human positions to the estimated ones at each time period, human movement paths can be estimated. Simulation-based evaluation results show that our algorithm can dynamically trace human movement paths.
authors.affiliation: The University of Aizu, Aizuwakamatsu, Fukushima 965-8580, Japan. miyazaki@u-aizu.ac.jp.
authors.forename: Toshiaki
authors.initials: T
authors.lastname: Miyazaki
authors.affiliation: The University of Aizu, Aizuwakamatsu, Fukushima 965-8580, Japan. m5151122@gmail.com.
authors.forename: Yuki
authors.initials: Y
authors.lastname: Kasama
keywords: infrared sensor; multiple human tracking; privacy