Target detection using FPGA structures

Aleksander Nawrat; Krzysztof Daniec

Target detection using FPGA structures

Katedra Automatyki i Robotyki (RAU/RAU3)

Wyniki badań: Wkład w konferencję › Artykuł › recenzja

Abstrakt

This paper presents an implementation in the FPGA structure Xilinx HW-V2000-MLTA target detection method using neural network method in the stream possessed from SONY HDR-HClE camera. The technique is designed to run in real-time using off-the-shelf hardware for use on an unmanned vehicle-helicopter. Our methodology is to quickly detect candidate locations using neural network. Additional processing is then applied to the candidate locations in order to eliminate false alarms. This technique have been tested on a set of imagery from a live - test range with outstanding results.

Język oryginału	angielski
Strony	344-348
Liczba stron	5
Status publikacji	Opublikowano - 2006
Wydarzenie	10th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2006, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006 - Orlando, FL, Stany Zjednoczone Czas trwania: 16 lip 2006 → 19 lip 2006

Konferencja

Konferencja	10th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2006, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006
Kraj/Terytorium	Stany Zjednoczone
Miejscowość	Orlando, FL
Okres	16/07/06 → 19/07/06

Obszary tematyczne ASJC Scopus

Sztuczna inteligencja
Sieci komputerowe i komunikacja
Systemy informacyjne

Inne pliki i linki

Link do publikacji w Scopus

Cytowanie

@conference{0f3180e4cefb4ed38e9ae6129dadfbcc,

title = "Target detection using FPGA structures",

abstract = "This paper presents an implementation in the FPGA structure Xilinx HW-V2000-MLTA target detection method using neural network method in the stream possessed from SONY HDR-HClE camera. The technique is designed to run in real-time using off-the-shelf hardware for use on an unmanned vehicle-helicopter. Our methodology is to quickly detect candidate locations using neural network. Additional processing is then applied to the candidate locations in order to eliminate false alarms. This technique have been tested on a set of imagery from a live - test range with outstanding results.",

keywords = "FPGA, Neural networks, Pattern recognition, Target detection",

author = "Aleksander Nawrat and Krzysztof Daniec",

year = "2006",

language = "English",

pages = "344--348",

note = "10th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2006, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006 ; Conference date: 16-07-2006 Through 19-07-2006",

}

Target detection using FPGA structures. / Nawrat, Aleksander ; Daniec, Krzysztof.
2006. 344-348 Referat przedstawiony na 10th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2006, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006, Orlando, FL, Stany Zjednoczone.

Wyniki badań: Wkład w konferencję › Artykuł › recenzja

TY - CONF

T1 - Target detection using FPGA structures

AU - Nawrat, Aleksander

AU - Daniec, Krzysztof

PY - 2006

Y1 - 2006

N2 - This paper presents an implementation in the FPGA structure Xilinx HW-V2000-MLTA target detection method using neural network method in the stream possessed from SONY HDR-HClE camera. The technique is designed to run in real-time using off-the-shelf hardware for use on an unmanned vehicle-helicopter. Our methodology is to quickly detect candidate locations using neural network. Additional processing is then applied to the candidate locations in order to eliminate false alarms. This technique have been tested on a set of imagery from a live - test range with outstanding results.

AB - This paper presents an implementation in the FPGA structure Xilinx HW-V2000-MLTA target detection method using neural network method in the stream possessed from SONY HDR-HClE camera. The technique is designed to run in real-time using off-the-shelf hardware for use on an unmanned vehicle-helicopter. Our methodology is to quickly detect candidate locations using neural network. Additional processing is then applied to the candidate locations in order to eliminate false alarms. This technique have been tested on a set of imagery from a live - test range with outstanding results.

KW - FPGA

KW - Neural networks

KW - Pattern recognition

KW - Target detection

UR - https://www.scopus.com/pages/publications/84867276740

M3 - Paper

AN - SCOPUS:84867276740

SP - 344

EP - 348

T2 - 10th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2006, Jointly with the 12th International Conference on Information Systems Analysis and Synthesis, ISAS 2006

Y2 - 16 July 2006 through 19 July 2006

ER -

Target detection using FPGA structures

Abstrakt

Konferencja

Obszary tematyczne ASJC Scopus

Inne pliki i linki

Fingerprint

Cytowanie