FPGA Based Object Tracking System

This Paper presents an object tracking system based on FPGA using canny edge detection Algorithm. The system consists of canny edge detection algorithm implemented on FPGA kit to identify edges of real time object. Also a tracking and reorganization of object is done by Smartphone camera. Canny edge...

Full description

Saved in:
Bibliographic Details
Published in2015 Fifth International Conference on Communication Systems and Network Technologies pp. 826 - 829
Main Authors Jadhav, Suhas, Narvekar, Rohit, Mandawale, Ajay, Elgandelwar, Sachin
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2015
Subjects
Canny Algorithm
Field programmable gate arrays
FPGA
Image edge detection
Image segmentation
IP algorithm for object tracking
Noise
Object recognition
Object tracking
Signal processing algorithms
Smartphone
Online AccessGet full text
DOI10.1109/CSNT.2015.270

Cover

More Information
Summary:This Paper presents an object tracking system based on FPGA using canny edge detection Algorithm. The system consists of canny edge detection algorithm implemented on FPGA kit to identify edges of real time object. Also a tracking and reorganization of object is done by Smartphone camera. Canny edge detection algorithm is key stage in image processing and object recognizing application. The field programmable gate array contains logic componants that can be programmed to perform complex mathematical functions making them highly suitable for the implementation of matrix algorithm. Individual frames acquired from the target video are fed into the FPGA. These are then subject to segmentation, threasholding, filtering stages. Following these the object is tracked by comparing the background frame and the processed updated frame containing the new location of the target. The result of the FPGA implementation in tracking a moving object were found to be correct and suitable for object tracking.
DOI:10.1109/CSNT.2015.270