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13 May 2019 Robust infrared target tracking using thermal information in mean-shift
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Abstract
The basic computational module of the technique is an old pattern recognition procedure: the mean-shift. In case of gray level feature domain, the spatial information of the target is lost when the background brightness histogram is the same as the target histogram. In this paper, we propose a new algorithm that is independent of background contrast by changing features from a conventional brightness based histogram to a temperature- based histogram. The proposed algorithm can track targets robustly regardless to target-background contrast. The experiment results demonstrate that the temperature-based Mean-Shift outperforms comparing with the brightness-based Mean-Shift when track a object with successive background variations.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sungmin Yun and Sungho Kim "Robust infrared target tracking using thermal information in mean-shift", Proc. SPIE 10995, Pattern Recognition and Tracking XXX, 1099509 (13 May 2019); https://doi.org/10.1117/12.2519191
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