Work

Hardware Accelarated Visual Tracking Algorithms. A Systematic Literature Review

Year: 2015

Type: review

Abstract: 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.

Source: UTUPub (University of Turku)

Authors: Sirpa Korhonen, Leo Sakari, Tero Säntti, Olli Lahdenoja, Teijo Lehtonen

Language: English

Topic: Video Surveillance and Tracking Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Tekes, Turun Yliopisto, Lloyd's Register

OpenAlex ID: W1795104761

FWCI:

Cites: 25

Cited by:

Related to: 10