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14 February 2020 A tracking method to stabilize a target in the region of inherent noise in an image
Shuai Dong, Tianxu Zhang
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Proceedings Volume 11429, MIPPR 2019: Automatic Target Recognition and Navigation; 1142918 (2020) https://doi.org/10.1117/12.2541937
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China
Abstract
During the movement of the target, we want to stabilize the target in the fixed region of the image. However, with inherent noise in this region, the information of the target on the image will be lost when the target enters this region. Besides, when there are other disturbances in the field of view, it will be more difficult to stabilize the target in the region with inherent noise. To solve this problem, we propose a tracking method to stabilize the target in the region of inherent noise in an image. We use multi-level filter detection method to detect the target in the image and obtain the position information of the target. Then according to the first 3 frames of images, the linear weighted sum value of the features and the motion trajectory of the target are estimated, and they are updated constantly in the process of tracking. The experimental results show that the tracking method has good performance in real-time, stability and anti-interference.
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Shuai Dong and Tianxu Zhang "A tracking method to stabilize a target in the region of inherent noise in an image", Proc. SPIE 11429, MIPPR 2019: Automatic Target Recognition and Navigation, 1142918 (14 February 2020); https://doi.org/10.1117/12.2541937
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KEYWORDS
Target detection
Detection and tracking algorithms
Image processing
Servomechanisms
Target recognition
Feature extraction
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