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Conference Paper Continuous Location Tracking of People by Multiple Depth Cameras
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Authors
Young-Ho Suh, Sang Keun Rhee, Kang-Woo Lee
Issue Date
2015-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2015, pp.170-172
Publisher
IEEE
Language
English
Type
Conference Paper
Abstract
This paper describes the design and implementation of a novel multi-depth camera multi-person tracking system. We propose a zone-space model for effectively cooperating with multiple depth cameras. Based on the system model, we devise a tracking-session association algorithm to find out a correct mapping between new observations and users scattered in the zones consisting of a space. Our system model supports flexible and extensible dynamic management of zones consisting of a space. Experiment results show that the proposed tracking-session algorithm shows good tracking performance such as location errors and hand over between zones.
KSP Keywords
Association algorithm, Depth camera, Dynamic management, Experiment results, Hand-over, Location Tracking, Location errors, Multi-depth, Multi-person tracking, Tracking Performance, Tracking System