Paper
28 April 2023 Target localization network based on optical flow for object tracking
Qingbo Ji, Ziqi Li, Kuicheng Chen, Qingfeng Ma, Lei Zhang, Changbo Hou
Author Affiliations +
Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 126102K (2023) https://doi.org/10.1117/12.2671257
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China
Abstract
Object tracking is a very challenging branch in the field of computer vision and plays an extremely important role in different fields. However, most algorithms still have no good robustness when the target is out of view, fast motion and low resolution. Therefore, this paper proposes a method based on Siamese architecture and optical flow to address these situations. The tracking framework is mainly divided into tracking network and target localization network based on optical flow. The tracking network uses SiamBAN and the target localization network uses LiteFlowNet3 to estimate the optical flow information of target. The proposed method in this paper expands the search area of SiamBAN, and uses the target localization network to reposition the target when tracking fails. The target localization network can be easily embedded into the existing Siamese network to provide more accurate location of target during the tracking process. Experiments results on VOT2016, VOT2018 show that this method has good robustness against extreme conditions.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qingbo Ji, Ziqi Li, Kuicheng Chen, Qingfeng Ma, Lei Zhang, and Changbo Hou "Target localization network based on optical flow for object tracking", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 126102K (28 April 2023); https://doi.org/10.1117/12.2671257
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KEYWORDS
Optical flow

Optical tracking

Detection and tracking algorithms

Optical networks

Feature extraction

Education and training

Target detection

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