Abstract
This article discusses observation planning for identifying each person in indoor living environment such as office space using a mobile camera mounted on a drone. Since many people in the environment often keep their positions and postures during their work, it is difficult to observe the face of all the people by a fixed camera installed in the environment to identify each of them, when some of them keep orienting their faces toward the directions opposite to the camera. In this article, it is proposed to observe each person’s face with a mobile camera mounted on a small drone, which flies around the ceiling in the environment. Assuming that the position and orientation of each person has already been obtained by the fixed camera, the proposed method observes each person’s face from the front with an appropriate distance in turn while minimizing the total cost for changing the position and the orientation of the drone before completing the observation for all the people.
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References
Vinay Sagar, K.N., Kusuma, S.M.: Home automation using internet of things. Int. Res. J. Eng. Technol. (IRJET) 02(03), 1965–1970 (2015)
Xia, L., Chen, C.C., Aggarwal, J.: Human detection using depth information by Kinect. In: International Workshop on Human Activity Understanding from 3D Data (in Conjunction with CVPR), pp. 15–22 (2011)
Tan, X., Chen, S., Zhou, Z.-H., Zhang, F.: Face recognition from a single image per person: a survey. Pattern Recogn. 39(9), 1725–1745 (2006)
Cao, Z., Simon, T., Wei, S.-E., Sheikh, Y.: Real multi-person 2D pose estimation using part affinity fields. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 7291–7299 (2017)
Zhang, J.: Natural computation for the traveling salesman problem. In: 2009 Second International Conference on Intelligent Computation Technology and Automation, vol. 1, pp. 366–369 (2009). (in Japanese)
Noguchi, Y., Takemura, A., Ohta, H., Nakamori, M.: A heuristic algorithm for the region covering salesman problem. The Special Interest Group Technical Reports of IPSJ, vol. 2012-MPS-91, no. 18, pp 1–5, December 2012
Office Layout Plans. https://www.conceptdraw.com/solution-park/building-office-layout-plans. Accessed 28 Mar 2019
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Sakata, K., Kakusho, K., Iiyama, M., Nishiguchi, S. (2019). Observation Planning for Identifying Each Person by a Drone in Indoor Daily Living Environment. In: Stephanidis, C. (eds) HCI International 2019 - Posters. HCII 2019. Communications in Computer and Information Science, vol 1033. Springer, Cham. https://doi.org/10.1007/978-3-030-23528-4_43
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DOI: https://doi.org/10.1007/978-3-030-23528-4_43
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