Hardware Accelarated Visual Tracking Algorithms. A Systematic Literature Review
Korhonen, Sirpa; Sakari, Leo; Säntti, Tero; Lahdenoja, Olli; Lehtonen, Teijo (2015-08-14)
University of Turku Technical Reports, No.5 — August 2015
Julkaisun pysyvä osoite on
Many industrial applications need object recognition and tracking capabilities. The algorithms developed for those purposes are computationally expensive. Yet ,real time performance, high accuracy and small power consumption are essential measures of the system. When all these requirements are combined, hardware acceleration of these algorithms becomes a feasible solution. The purpose of this study is to analyze the current state of these hardware acceleration solutions, which algorithms have been implemented in hardware and what modiﬁcations have been done in order to adapt these algorithms to hardware.
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