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Volume 13, Issue 2
On a New Technique in Laser Spot Detection and Tracking using Optical Flow and Kalman Filtering

Yang Bai, Xiuli Wang, Wen Liu and Ming Yang

J. Info. Comput. Sci. , 13 (2018), pp. 089-099.

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(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.
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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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