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FPGA based Real-Time Object Detection Approach with Validation of Precision and Performance

  • This paper presents the implementation and evaluation of a computer vision problem on a Field Programmable Gate Array (FPGA). This work is based upon previous work where the feasibility of application specific image processing algorithms on a FPGA platform have been evaluated by experimental approaches. This work coveres the development of a BLOB detection system on an Altera Development and Education II (DE2) board with a Cyclone II FPGA in Verilog. It detects binary spatially extended objects in image material and computes their center points. Bounding Box and Center-of-Mass have been applied for estimating center points of the BLOBs. The results are transmitted via a serial interface to the PC for validation of their ground truth and further processing. The evaluation compares precision and performance gains dependent on the applied computation methods.

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Document Type:Conference Object
Author:Alexander Bochem, Kenneth B. Kent, Rainer Herpers
Parent Title (English):22nd IEEE International Symposium on Rapid System Prototyping (RSP), Karlsruhe, Germany, 24-27 May 2011
First Page:9
Last Page:15
Date of first publication:2011/06/23
Tag:BLOB Detection; Bounding Box; Center-of-Mass; FPGA; Image Processing; Verilog
Departments, institutes and facilities:Fachbereich Informatik
Institute of Visual Computing (IVC)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2015/04/02