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Research Journal of Engineering and Technology
Year : 2018, Volume : 9, Issue : 3
First page : ( 269) Last page : ( 277)
Print ISSN : 0976-2973. Online ISSN : 2321-581X.
Article DOI : 10.5958/2321-581X.2018.00036.3

Systolic Array Based Motion Detection Architecture using Modified Reichardt Model

Haq Abrar Ul1,*, Reddy G. M. Sreerama2, Raj P. Cyril Prasanna3

1Assistant Professor, Dept. of Electrical and Electronics, School of Engineering, Presidency University, Itgalpur, Rajanakunte, Yelahanka, Bengaluru-560064, Karnataka, India

2Prof and Head, ECE Dept., C. Byregowda Institute of Tech, Kolar-563101

3Professor, Department of ECE, MSEC, Bangalore-562157, India

*Corresponding Author E-mail: abrarulhaq@presidencyuniversity.in

Online published on 20 December, 2018.

Abstract

Micro air vehicles or MAVs play a vital role in defense and domestic applications. Auto piloting of MAVs is always a challenge to hardware design engineers. Vision based autopilot aids the control strategy of MAVs for reliable flight operation. One of the important functions of vision based control logic is the motion detection of objects. Bioinspired motion detection algorithm based on Reichardt model is one approach for detection for vertical and horizontal motion of objects. In this paper, a systolic array based architecture to process 256 x 256 image data using modified Reichardt models are designed and implemented. RTL architecture has been designed using modified Reichardt correlator that can compute the motion direction in both vertical and horizontal directions. Functional simulation of motion detector has been carried out and it is observed that design takes 18 clock cycles to detect the single motion. RTL design for motion detector for 256 x 256 image sequence has been prototyped on FPGA. The design is found to operate at frequency of 322 MHz and occupies less than 300 LUTs consuming power of less than 100mW. The design is targeted and implemented on Virtex-5 FPGA optimizing area, timing and power constraints.

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Keywords

Reichardt model, systolic array architecture, FPGA, motion detection, MAV.

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