We describe an online approach to learn non-linear motion patterns and robust appearance models for multi-target tracking in a tracklet association framework. Unlike
Colors
with high saturation are of prime significance for display
and imaging devices. So far, structural colors arising from all-dielectric
metasurfaces, particularly amorphous silicon and titanium oxide, have
exceeded the gamut of standard RGB (sRGB) space. However, the excitation
of higher-order modes for dielectric materials hinders the further
increase of saturation. Here, to address the challenge, we propose
a new design strategy of multipolar-modulated metasurfaces with multi-dielectric
stacked layers to realize the deep modulation of multipolar modes.
Index matching between layers can suppress the multipolar modes at
nonresonant wavelength, resulting in the dramatic enhancement in the
monochromaticity of reflection spectra. Ultrahigh-saturation colors
ranging from 70% to 90% with full hue have been theoretically and
experimentally obtained. The huge gamut space can be realized in an
unprecedented way, taking up 171% sRGB space, 127% Adobe RGB space,
and 57% CIE space. More interestingly, the coverage for Recommendation
2020 (Rec. 2020) space, which almost has not been successfully realized
so far, can reach 90%. We anticipate that the proposed multipolar-modulated
metasurfaces are promising for the enlargement of the color range
for high-end and advanced display applications.
Abstract. We introduce an online learning approach to produce discriminative part-based appearance models (DPAMs) for tracking multiple humans in real scenes by incorporating association based and category free tracking methods. Detection responses are gradually associated into tracklets in multiple levels to produce final tracks. Unlike most previous multi-target tracking approaches which do not explicitly consider occlusions in appearance modeling, we introduce a part based model that explicitly finds unoccluded parts by occlusion reasoning in each frame, so that occluded parts are removed in appearance modeling. Then DPAMs for each tracklet is online learned to distinguish a tracklet with others as well as the background, and is further used in a conservative category free tracking approach to partially overcome the missed detection problem as well as to reduce difficulties in tracklet associations under long gaps. We evaluate our approach on three public data sets, and show significant improvements compared with state-of-art methods.
We have developed a facile and compatible method to in situ fabricate uniform metal nanowire networks on substrates. The as-fabricated metal nanowire networks show low sheet resistance and high transmittance (2.2 Ω sq(-1) at T = 91.1%), which is equivalent to that of the state-of-the-art metal nanowire networks. We demonstrated that the transmittance of the metal networks becomes homogeneous from deep-ultraviolet (200 nm) to near-infrared (2000 nm) when the size of the wire spacing increases to micrometer size. Theoretical and experimental analyses indicated that we can improve the conductivity of the metal networks as well as keep their transmittance by increasing the thickness of the metal films. We also carried out durability tests to demonstrate our as-fabricated metal networks having good flexibility and strong adhesion.
Structural colors generated by the plasmonic resonance of metallic nanostructures, particularly aluminum, have been intensively studied in recent years. However, the inherent Ohmic loss and interband transitions in metals hinder the high efficiency and narrow bandwidth required for pure colors. Here, arrays of asymmetric titanium oxide elliptical nanopixels on a silica substrate are utilized to realize polarization‐sensitive structural colors with high saturation, high efficiency (more than 90%), and high resolution. Owing to Fano resonance resulting from the interference between the radiating waves of dipole resonances and directly reflected waves, perfect narrow reflected spectra can be formed with nearly ideal efficiency in the visible spectrum based on this all‐dielectric nanostructure. In particular, hue‐ and saturation‐tuned colors can be simultaneously obtained under two orthogonally polarized incident lights with apparent color contrast. Based on the superior properties of the titanium oxide metasurface, the proposed design strategy is anticipated to form a new paradigm for practical applications, such as high‐density optical data storage, nanoscale optical elements, sensing, security, and so on.
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