NDLI: Simultaneous Real-time 3D Visual Tracking of Multiple Objects using a Stream Processor

Content Provider	Semantic Scholar
Author	Lozano, Oscar Mateo Otsuka, Kazuhiro
Copyright Year	2007
Abstract	In this work, we present an implementation of a real-time visual tracker of the position and 3D pose of objects in video sequences. The use of Stream Processors for the computation and an efficient Sparse-Template-based particle filtering allows us to achieve real-timeness even with tracking multiple objects simultaneously in high-resolution video frames. Stream processing is a relatively new computing paradigm that allows parallel computing at never-before-seen efficiency. Using a GPU (Graphics Processing Unit, a consumer-grade stream processor) and the NVIDIA CUDA technology, we are capable of achieving performance improvements as large as 10x compared to a similar CPU-only tracker.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.kecl.ntt.co.jp/people/otsuka.kazuhiro/MIRU2007_oscar_paper.pdf
Alternate Webpage(s)	http://www.brl.ntt.co.jp/people/otsuka/MIRU2007_oscar_paper.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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