@Article{JICS-13-089,
author = {Yang Bai, Xiuli Wang, Wen Liu and Ming Yang},
title = {On a New Technique in Laser Spot Detection and Tracking using Optical Flow and Kalman Filtering},
journal = {Journal of Information and Computing Science},
year = {2018},
volume = {13},
number = {2},
pages = {089--099},
abstract = {(Received January 02 2018, accepted March 18 2018) 
Laser spot emitted by laser pointers were widely used in numerous fields such as pointing during 
presentations,  guiding  robots  in  human  machine  interaction  (HCI),  and  guiding  munitions  to  targets  in 
military,  etc.  Our  interest  is  to  develop  an  effective  method  for  laser  spot  detection  and  tracking  with 
exploiting fewer features. In this paper, we jointly combined pyramid Lucas–Kanade (PLK) optical flow for 
detection  and  extended  Kalman  filter  for  accurately  tracking  laser  spot  in  low-resolution  and  varying 
background  video  frames.  Using  this  new  technique,  we  only  need  to  deploy  intensity  of  laser  spot  with 
displacement  of  laser  spot  and  get  a  very  good  result.  This  technique  could  be  embedded  into  multi-core 
processing devices with inexpensive cost for potential high benefits in the future.  
},
issn = {3080-180X},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22451.html}
}