Moving Object Tracking Optimization for High Speed Implementation on FPGA

Research areas:

• Volume 3,Issue 4, Jan. 2015

Year:

2015

Type of Publication:

Article

Keywords:

Target, Tracking, Mean Shift Algorithm, Feature Fusion, FPGA

Authors:

Nastaran Asadi; Rahebeh Niaraki Asli

Journal:

IJAIM

Volume:

3

Number:

4

Pages:

177-182

Month:

Jan.-Feb.

ISSN:

2320-5121

Abstract:

One of the broad application of scientific fields is real time moving object tracking and its implementation on a high speed reconfigarable hardware. This implementation has a positive effect on speed, accuracy, efficiency and reduces design cost. This paper presents anoptimized design of moving object tracking based on color and edge fusion by using mean shift algorithm.The partitioned synthesizable design simulate written by VHDL carry out on Xilinx ISE14.2 and implemented on XC5SX35 FPGA. Results show the implemented tracking system has a good efficiency on speed and accuracy.

Full text: IJAIMIRC-625_final.pdf