Abstract
This paper presents a multi-camera system where reconfigurable hardware and video codec are used to assist real-time video processing. Video inputs from all analog cameras are decoded and processed by FPGA to accelerate overall processing time. Two applications including multiple-object tracking and motion capturing are implemented in this system to verify real-time capability. In multiple-object tracking, video images are rearranged and combined into a single image that profits the tracking algorithm called multiple-CAMshift running in software. In motion capturing, every frame from all cameras, located in different angles, is processed to find the coordinates of 11 reference color-objects. Results are sent to a computer for constructing 3-D image in real-time.
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© 2009 Springer-Verlag Berlin Heidelberg
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Leephokhanon, S., Wiangtong, T. (2009). Object Tracking and Motion Capturing in Hardware-Accelerated Multi-camera System. In: Becker, J., Woods, R., Athanas, P., Morgan, F. (eds) Reconfigurable Computing: Architectures, Tools and Applications. ARC 2009. Lecture Notes in Computer Science, vol 5453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00641-8_36
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DOI: https://doi.org/10.1007/978-3-642-00641-8_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00640-1
Online ISBN: 978-3-642-00641-8
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