Efficient Hardware Implementation of Real-Time Object Tracking
Küçük Resim Yok
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This paper presents a novel hardware architecture for the minimum output sum of squared error (MOSSE) tracker algorithm. The proposed hardware architecture is built using a high-level synthesis (HLS) approach to generate hardware blocks from C++ code. Furthermore, real-time testing and verification are done using an FPGA device fabricated at a 16nm technology node. The microbolometer thermal imaging sensor which has 17 ?m pixel pitch, 640×480 video resolution and 30 frames/second (fps) frame rate is used. Using the HLS tool, the maximum clock frequency and frame rate of 300 MHz and 60 fps are achieved respectively. Generated register transfer level (RTL) and Matlab simulations pose negligible differences between hardware and software implementations. Experimental results reveal that the proposed architecture balances hardware resource utilization and target tracking accuracy for consumer electronics applications. © 2022 IEEE.
Açıklama
Anahtar Kelimeler
FPGA, hardware architecture, HLS, MOSSE tracker, C++ (programming language), High level synthesis, Infrared imaging, MATLAB, Target tracking, C++ codes, Frame-rate, Hardware architecture, Hardware blocks, Hardware implementations, High-level synthesis, Minimum output sum of squared error tracker, Novel hardware, Real-time object tracking, Sum of squared errors, Field programmable gate arrays (FPGA)
