On a New Technique in Laser Spot Detection and Tracking using Optical Flow and Kalman Filtering
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@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 = {2024},
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 = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22451.html}
}
TY - JOUR
T1 - On a New Technique in Laser Spot Detection and Tracking using Optical Flow and Kalman Filtering
AU - Yang Bai, Xiuli Wang, Wen Liu and Ming Yang
JO - Journal of Information and Computing Science
VL - 2
SP - 089
EP - 099
PY - 2024
DA - 2024/01
SN - 13
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22451.html
KW - spot detection and tracking, PLK optical flow, extended Kalman filter.
AB - (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.
Yang Bai, Xiuli Wang, Wen Liu and Ming Yang. (2024). On a New Technique in Laser Spot Detection and Tracking using Optical Flow and Kalman Filtering.
Journal of Information and Computing Science. 13 (2).
089-099.
doi:
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