110 research outputs found

    Video Acceleration Magnification

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    The ability to amplify or reduce subtle image changes over time is useful in contexts such as video editing, medical video analysis, product quality control and sports. In these contexts there is often large motion present which severely distorts current video amplification methods that magnify change linearly. In this work we propose a method to cope with large motions while still magnifying small changes. We make the following two observations: i) large motions are linear on the temporal scale of the small changes; ii) small changes deviate from this linearity. We ignore linear motion and propose to magnify acceleration. Our method is pure Eulerian and does not require any optical flow, temporal alignment or region annotations. We link temporal second-order derivative filtering to spatial acceleration magnification. We apply our method to moving objects where we show motion magnification and color magnification. We provide quantitative as well as qualitative evidence for our method while comparing to the state-of-the-art.Comment: Accepted paper at CVPR 2017. Project webpage: http://acceleration-magnification.github.io

    Аспирация мСкония: Ρ„Π°ΠΊΡ‚ΠΎΡ€Ρ‹ риска ΠΈ ΡΡ„Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ Π»Π΅Π³ΠΎΡ‡Π½ΠΎΠΉ Ρ€Π΅Π°Π½ΠΈΠΌΠ°Ρ†ΠΈΠΈ

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    IMSP Institutul Mamei şi CopiluluiRespiratory pathology is quite frequent during the neonatal period. Meconium aspiration syndrome is diagnosed in 5-15% of children born naturally. The purpose of this study is to highlight the causes of this pathology and ways to decrease perinatal mortality in case of meconium aspiration. It was studied a group of 35 newborns at "ICŞOSM si C" with Meconium Aspiration Syndrome. The main cause of neonatal mortality was the untimely detection of fetal distress. Was studied a primary volume of resuscitation in the delivery room depending on the status of newborn It recommends more closely monitoring of pregnant women who belong to risk groups for Meconial aspiration syndrome, monitoring the fetal status of cardiovascular system reactivity, frequency of breathing, spontaneous motility, and neonatal muscular tone. Neonatal resuscitation needs to be performed depending on the overall condition of the child.Π”Ρ‹Ρ…Π°Ρ‚Π΅Π»ΡŒΠ½Π°Ρ патология довольно часто встрСчаСтся Π² Π½Π΅ΠΎΠ½Π°Ρ‚Π°Π»ΡŒΠ½ΠΎΠΌ ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Π΅. Π‘ΠΈΠ½Π΄Ρ€ΠΎΠΌ аспирации мСкония диагностируСтся Ρƒ 5-15% Π΄Π΅Ρ‚Π΅ΠΉ, Ρ€ΠΎΠΆΠ΄Π΅Π½Π½Ρ‹Ρ… СстСствСнным ΠΏΡƒΡ‚Π΅ΠΌ. ЦСлью Π΄Π°Π½Π½ΠΎΠΉ Ρ€Π°Π±ΠΎΡ‚Ρ‹ являлось Π²Ρ‹Π΄Π΅Π»ΠΈΡ‚ΡŒ ΠΏΡ€ΠΈΡ‡ΠΈΠ½Ρ‹ этой ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΈ ΠΏΡƒΡ‚ΠΈ сниТСния ΠΏΠ΅Ρ€ΠΈΠ½Π°Ρ‚Π°Π»ΡŒΠ½ΠΎΠΉ смСртности Π² случаС aспирации мСкония. Π‘Ρ‹Π»Π° ΠΈΠ·ΡƒΡ‡Π΅Π½Π° Π³Ρ€ΡƒΠΏΠΏΠ° ΠΈΠ· 35 Π½ΠΎΠ²ΠΎΡ€ΠΎΠΆΠ΄Π΅Π½Π½Ρ‹Ρ… ΠΈΠ· Π Π¦ΠžΠ—ΠœΠΈΠ  с синдромом аспирации мСкония. Основной ΠΏΡ€ΠΈΡ‡ΠΈΠ½ΠΎΠΉ смСртности Π½ΠΎΠ²ΠΎΡ€ΠΎΠΆΠ΄Π΅Π½Π½Ρ‹Ρ… Π±Ρ‹Π»ΠΎ нСсвоСврСмСнноС ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ дистрСсса ΠΏΠ»ΠΎΠ΄Π°. Π‘Ρ‹Π» ΠΈΠ·ΡƒΡ‡Π΅Π½ ΠΎΠ±ΡŠΡ‘ΠΌ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠΉ Ρ€Π΅Π°Π½ΠΈΠΌΠ°Ρ†ΠΈΠΈ Π² Ρ€ΠΎΠ΄Π·Π°Π»Π΅ Π² зависимости ΠΎΡ‚ состояния Π½ΠΎΠ²ΠΎΡ€ΠΎΠΆΠ΄Π΅Π½Π½Ρ‹Ρ…. Π Π΅ΠΊΠΎΠΌΠ΅Π½Π΄ΠΎΠ²Π°Π½ΠΎ Π±ΠΎΠ»Π΅Π΅ Π²Π½ΠΈΠΌΠ°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΡΠ»Π΅Π΄ΠΈΡ‚ΡŒ Π·Π° Π±Π΅Ρ€Π΅ΠΌΠ΅Π½Π½Ρ‹ΠΌΠΈ ΠΆΠ΅Π½Ρ‰ΠΈΠ½Π°ΠΌΠΈ, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ входят Π² Π³Ρ€ΡƒΠΏΠΏΡƒ риска ΠΏΠΎ БАМ, ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ состояниС ΠΏΠ»ΠΎΠ΄Π°: сСрдСчно-сосудистой систСмы, частоты дыхания, спонтанной ΠΌΠΎΡ‚ΠΎΡ€ΠΈΠΊΠΈ ΠΈ ΠΌΡ‹ΡˆΠ΅Ρ‡Π½ΠΎΠ³ΠΎ тонуса. ΠΠ΅ΠΎΠ½Π°Ρ‚Π°Π»ΡŒΠ½Π°Ρ рСанимация Π΄ΠΎΠ»ΠΆΠ½Π° Π±Ρ‹Ρ‚ΡŒ Π²Ρ‹ΠΏΠΎΠ»Π½Π΅Π½Π° Π² зависимости ΠΎΡ‚ ΠΎΠ±Ρ‰Π΅Π³ΠΎ состояния Ρ€Π΅Π±Π΅Π½ΠΊΠ°

    Cercopithecine and Colobine Abundance Across Protected and Unprotected Land in the Greater Mahale Ecosystem, Western Tanzania

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    Most primates live in unprotected land where abundances and threats may differ from those in protected areas. We therefore need to establish population densities in both unprotected and protected areas to effectively inform conservation planning. The Greater Mahale Ecosystem in western Tanzania is a region of mixed protected status with seven cercopithecine and colobine species: blue (Cercopithecus mitis doggetti), red-tailed (C. ascanius schmidi), and vervet (Chlorocebus pygerythrus) monkeys; ashy red colobus (Piliocolobus tephrosceles); black-and-white colobus (Colobus angolensis); and olive (Papio anubis) and yellow (P. cynocephalus) baboons. These species may be threatened by increasing human activity; however, except for ashy red colobus, no data on local abundances are available. We walked over 350 km of line transects in legally protected (Village Forest Reserves) and unprotected general land between August 2011 and October 2012 to estimate densities of primates and human activity. Primate densities were consistently low across the Greater Mahale Ecosystem. Blue and red-tailed monkey and ashy red colobus densities were especially low compared to populations in predominantly forested landscapes. Primate and human activity densities did not differ significantly inside and outside of reserves. Low primate densities could be natural responses to the lower proportions and quality of riparian forest habitat in the region. High levels of human activity and the absence of significantly higher primate densities in reserves suggest unprotected land could provide important refuges for primates in the Greater Mahale Ecosystem. This result further reinforces a broad need to include unprotected areas in primate conservation strategies. Β© 2019, The Author(s)

    A step towards understanding why classification helps regression

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    A number of computer vision deep regression approaches report improved results when adding a classification loss to the regression loss. Here, we explore why this is useful in practice and when it is beneficial. To do so, we start from precisely controlled dataset variations and data samplings and find that the effect of adding a classification loss is the most pronounced for regression with imbalanced data. We explain these empirical findings by formalizing the relation between the balanced and imbalanced regression losses. Finally, we show that our findings hold on two real imbalanced image datasets for depth estimation (NYUD2-DIR), and age estimation (IMDB-WIKI-DIR), and on the problem of imbalanced video progress prediction (Breakfast). Our main takeaway is: for a regression task, if the data sampling is imbalanced, then add a classification loss.Comment: Accepted at ICCV-202
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