Journal of Computer Science

Embedded Architecture for Object Tracking using Kalman Filter

Ahmad Abdul Qadir Al Rababah

DOI : 10.3844/jcssp.2016.241.245

Journal of Computer Science

Volume 12, Issue 5

Pages 241-245

Abstract

Intelligent video is a new area of research fairly wide allowing to do a study, analysis, or interpretation of digital video such as motion analysis. However, for a video surveillance system, a motion analysis task of digital video includes the detection of moving objects and their tracking. The object detection allows the location of the regions of interest, which represents a change of movement. The purpose of tracking is to maintain the identity of objects detected over time by the estimation or the location of their position in each frame of the sequence. The most popular tracking algorithm is the Kalman filtering. In this study a hardware architecture for moving object tracking using Kalman filter on a FPGA board, is proposed.

Copyright

© 2016 Ahmad Abdul Qadir Al Rababah. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.