Jianguo Ling, Erqi Liu, Lei Yang, Jie Yang
Optical Engineering, Vol. 45, Issue 11, 110502, (November 2006) https://doi.org/10.1117/1.2388341
TOPICS: Infrared imaging, Thermal modeling, Infrared radiation, Thermography, Detection and tracking algorithms, Infrared search and track, Visual process modeling, Performance modeling, Target recognition, Instrument modeling
We present an approach that incorporates multi-information, including intensity value, spatial relation, and local standard deviation information of the pixels in target region, into kernel density estimation for constructing the kernel-based infrared (IR) target model. The incorporated information can complement each other for a target-tracking task. This constructed target model is evaluated based on the relative entropy of the two classes and is applied in a mean shift tracking system for IR target tracking to verify the effectiveness.