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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