Fisheye video stream target tracking

Guoqing Zhou; Mengyuan Luo

doi:10.1117/12.2686478

10 August 2023 Fisheye video stream target tracking

Guoqing Zhou, Mengyuan Luo

Proceedings Volume 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023); 1275926 (2023) https://doi.org/10.1117/12.2686478
Event: 2023 3rd International Conference on Automation Control, Algorithm and Intelligent Bionics (ACAIB 2023), 2023, Xiamen, China

Abstract

Moving object tracking plays a very important role in computer vision. With the advancement of science and technology, effective tracking of targets in various scenarios is a hot research direction in many fields. The emergence of fisheye cameras provides a new research direction for target tracking of video streams. With a fisheye lens, a fisheye camera can capture a wider range of images at once and obtain more information. In this paper, the inter frame difference method (IFD-method) and optical-flow method (OF-method) commonly used in the target tracking algorithm are mainly studied to realize the tracking of moving targets in fisheye video streams. Experiments show that the IFD-method, especially the three-frame IFD-method, can effectively extract the target area, while the OF-method can realize the real-time tracking of the feature points on the moving target in the array-to-array video stream.

Citation Download Citation

Guoqing Zhou and Mengyuan Luo "Fisheye video stream target tracking", Proc. SPIE 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023), 1275926 (10 August 2023); https://doi.org/10.1117/12.2686478

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