Improvised Optical Flow Techniques to Track Vehicle Movements in a Drone Video—Hybrid Approach Combining Lucas–Kanade and Horn–Schunck Methods
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2031-6_30
Reference19 articles.
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2. Liu, C., Freeman, W.T., Adelson, E.H., Weiss, Y.: Human-assisted motion annotation. In: 2008 IEEE Conference on Computer Vision and Pattern Recognition, IEEE, Jun, pp. 1–8 (2008). https://doi.org/10.1109/CVPR.2008.4587845.
3. Al-Qudah, S., Yang, M.: Large displacement detection using improved Lucas-Kanade optical flow. Sens. (Basel) 23(6) (2023). https://doi.org/10.3390/s23063152
4. Komorkiewicz, M., Kryjak, T., Gorgon, M.: Efficient hardware implementation of the Horn-Schunck algorithm for high-resolution real-time dense optical flow sensor. Sens. 14(2), 2860–2891 (2014). https://doi.org/10.3390/s140202860
5. Hsiao, S.-F., Tsai, C.-Y.: Design and implementation of low-cost LK optical flow computation for images of single and multiple levels. In: 2018 21st Euromicro Conference on Digital System Design (DSD), IEEE, Aug, pp. 276–279 (2018). https://doi.org/10.1109/DSD.2018.00057
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