Abstract
This paper proposes a multi human movement trajectories (HMTs) extraction system with room layout estimation by a thermal sensor. In the system, the sensor is attached to the ceiling and it acquires 16 × 16 elements spatial temperatures – thermal distribution. The distributions are analyzed to extract HMTs. Firstly, room temperature is removed from thermal distribution. Secondly, human distribution is estimated with fuzzy inferences. In this procedure, an O-F (Object-Floor) map is employed to prevent miss detection of human positions based on room layout. Finally, multi HMTs are extracted by the Connected Component Labeling and the ordering by the distance between new acquired human position and past HMTs. In the experiment, we measured a room to evaluate detection ability of our system. As the experimental result, the system successfully extracted multi HMTs in the all data.
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Kuki, M., Nakajima, H., Tsuchiya, N., Tanaka, J., Hata, Y. (2014). Multi Human Movement Trajectory Extraction by Thermal Sensor. In: Kim, Y., Ryoo, Y., Jang, Ms., Bae, YC. (eds) Advanced Intelligent Systems. Advances in Intelligent Systems and Computing, vol 268. Springer, Cham. https://doi.org/10.1007/978-3-319-05500-8_5
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DOI: https://doi.org/10.1007/978-3-319-05500-8_5
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-05499-5
Online ISBN: 978-3-319-05500-8
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