TY - GEN
T1 - Optical tracking system based on COTS components
AU - Oliveira, Debora N.P.
AU - Morais, Marcos R.A.
AU - Lima, Antonio M.N.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper deals with the design of an indoor optical tracking system based on commercially available off-the-shelf products. In the proposed system, four V2 NoIR Raspberry cameras are connected to various Raspberry Pi boards (Model 3B, 3B+, and 4) as capture stations. In this work, algorithms for clock synchronization, rapid contour extraction, and intrinsic camera calibration are discussed. The size, layout, illumination, and safety of an arena are also addressed, as well as construction issues like non-uniform lighting or noisy reflections. The system's accuracy is sub-centimeter at a frame rate of 100Hz, which is comparable to the performance of the proprietary and commercially available optical tracking systems. These results demonstrate that the proposed solution is feasible and show the correctness of the suggested methodology.
AB - This paper deals with the design of an indoor optical tracking system based on commercially available off-the-shelf products. In the proposed system, four V2 NoIR Raspberry cameras are connected to various Raspberry Pi boards (Model 3B, 3B+, and 4) as capture stations. In this work, algorithms for clock synchronization, rapid contour extraction, and intrinsic camera calibration are discussed. The size, layout, illumination, and safety of an arena are also addressed, as well as construction issues like non-uniform lighting or noisy reflections. The system's accuracy is sub-centimeter at a frame rate of 100Hz, which is comparable to the performance of the proprietary and commercially available optical tracking systems. These results demonstrate that the proposed solution is feasible and show the correctness of the suggested methodology.
KW - computer vision
KW - object tracking
KW - optical spatial localization system
KW - optical tracking
UR - http://www.scopus.com/inward/record.url?scp=85149779585&partnerID=8YFLogxK
U2 - 10.1109/IPAS55744.2022.10053039
DO - 10.1109/IPAS55744.2022.10053039
M3 - Conference contribution
AN - SCOPUS:85149779585
T3 - 5th IEEE International Image Processing, Applications and Systems Conference, IPAS 2022
BT - 5th IEEE International Image Processing, Applications and Systems Conference, IPAS 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE International Image Processing, Applications and Systems Conference, IPAS 2022
Y2 - 5 December 2022 through 7 December 2022
ER -