High sensitivity tracking of free-moving targets with time-varying complex background

Tracking of low-visibility targets in complex backgrounds is an important research field, where existing methods struggle to image with irregular changes moving direction and speed. Move contrast imaging can greatly improve the sensitivity target tracking, which has achieved applications field X-ray imaging, including high-resolution microvessels living rats help agents, <i>in-situ</i> dynamic observation ion migration redox reactions during electrochemical reactions, water refilling along vessels willow branch without resorting agents. However, all these are limited fixed trajectories or monotonous backgrounds. In principle, move based on frequency spectral characteristics time-domain grayscale signal highly sensitive components, wavelength-independent. This paper extends visible light waveband for tracking free-moving time-varying To meet need backgrounds, we develop a (MCI) method continuous wavelet transform (CWT) Hilbert-Huang (HHT) high discriminatory capability non-stationary signals. Selecting birds sky forest caused by natural intensity wild random swaying tree leaves result The tracing results show that FT-MCI method, CWT-MCI HHT-MCI 179.9 times, 175.8 times 214.6 compared temporal subtraction respectively. further effectively suppress influence background noise interest, thus achieving Combining phase diagram parameters, motion direction, speed distance from point. Therefore, developed this expected provide novel