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Development of Dual Video Acquisition and Parallel AVI Player with Camera Calibration System for Supporting Dual View Motion Detection

Development of Dual Video Acquisition and Parallel AVI Player with Camera Calibration System for Supporting Dual View Motion Detection

Amar Vijai Nasrulloh, Tati L. R. Mengko, Tommy Apriantono
Copyright: © 2010 |Volume: 1 |Issue: 3 |Pages: 9
ISSN: 1947-315X|EISSN: 1947-3168|EISBN13: 9781609609658|DOI: 10.4018/jehmc.2010070104
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MLA

Nasrulloh, Amar Vijai, et al. "Development of Dual Video Acquisition and Parallel AVI Player with Camera Calibration System for Supporting Dual View Motion Detection." IJEHMC vol.1, no.3 2010: pp.41-49. http://doi.org/10.4018/jehmc.2010070104

APA

Nasrulloh, A. V., Mengko, T. L., & Apriantono, T. (2010). Development of Dual Video Acquisition and Parallel AVI Player with Camera Calibration System for Supporting Dual View Motion Detection. International Journal of E-Health and Medical Communications (IJEHMC), 1(3), 41-49. http://doi.org/10.4018/jehmc.2010070104

Chicago

Nasrulloh, Amar Vijai, Tati L. R. Mengko, and Tommy Apriantono. "Development of Dual Video Acquisition and Parallel AVI Player with Camera Calibration System for Supporting Dual View Motion Detection," International Journal of E-Health and Medical Communications (IJEHMC) 1, no.3: 41-49. http://doi.org/10.4018/jehmc.2010070104

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Abstract

Human motion capture consists of the recording of human body movements for immediate or delayed analysis and playback. Development of the dual video acquisition methods and continued with dual and parallel AVI player display can visually display dual view motion detection and successfully identify the depth of the motion detection. Times and frames are played together in dual AVI player display. The mouse cursor tags, using markers, every motion manually and records the two view graphics movement of the joints represented by the markers. The software module to find Ln of two camera calibration that connects a 2 dimensional image plane and 3 dimensional world coordinates has been built using Direct Linear Transformation equation with distance error ±0,44 pixels for video camera 1 and ±1,03 pixels for video camera 2.

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