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Conference Paper
Moving Object Performance Analysis System Using Multi-camera Video and Position Sensors
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- Authors
- Changeun Lee, Gi-Mun Um, Sangjoon Park, Kwang-il Lee
- Issue Date
- 2020-02
- Citation
- International Conference on Big Data and Smart Computing (BigComp) 2020, pp.441-445
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- We present an moving object performance analysis system using multi-camera video and position sensors. The proposed system firstly adopted a multi-camera video based tracking technique with moving object identification. Moreover, technology for more precise tracking and identification by using multiple camera and IR-UWB fusion technology. In the IR-UWB based tracking, One-way ranging technology is used to estimate the positions of the players in real-time. In the test experiment, the proposed system showed the performance of average tracking speed of 16 fps with four cameras the average player identification rate as 98.8 % and the average position error is 0.48 meters.
- KSP Keywords
- Fusion technology, Identification rate, Impulse Radio Ultra-Wideband(IR-UWB), Moving Object, Multi-camera, One-way ranging, Performance analysis, Position error, Real-Time, Tracking speed, Tracking technique