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Chapter


Title

Real-time density maps generation of moving objects using embedded systems

Authors

[ 1 ] Instytut Automatyki i Robotyki, Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | [ SzD ] doctoral school student | [ P ] employee

Scientific discipline (Law 2.0)

[2.2] Automation, electronics and electrical engineering

Year of publication

2022

Chapter type

chapter in monograph / paper

Publication language

english

Keywords
EN
  • density maps
  • intelligent video analysis
  • Raspberry pi
  • NVIDIA Jetson Nano
Abstract

EN The paper presents a realization of the determination of the so-called heat maps to represent the activity of moving people or other objects in a vision sequence. Image acquisition is performed with a fixed camera, and the generation of maps is performed using a low-cost embedded system. The prepared software based on the OpenCV library. Experimental benchmark studies were performed on Raspberry Pi and NVIDIA Jetson Nano minicomputers. It is shown that such minicomputers allow for a real time calculation of density maps.

Date of online publication

27.09.2022

Pages (from - to)

179 - 184

DOI

10.1109/ELMAR55880.2022.9899807

URL

https://ieeexplore.ieee.org/document/9899807

Book

Proceedings of ELMAR-2022 : 64th International Symposium ELMAR-2022, 12-14 September 2022, Zadar, Croatia

Presented on

64th International Symposium ELMAR-2022, 12-14.09.2022, Zadar, Croatia

Ministry points / chapter

20.0

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