But responsibility for the slave trade is not simple. On the one hand, it was indeed the Europeans who purchased large numbers of Africans, and sent them far away to work in their colonies. On the other hand, Africans bear some responsibility themselves: some African societies had long had their own slaves, and they cooperated with the Europeans to sell other Africans into slavery. The Europeans relied on African merchants, soldiers and rulers to get slaves for them, which they then bought, at convenient seaports.
Africans were not strangers to the slave trade, or to the keeping of slaves. There had been considerable trading of Africans as slaves by Islamic Arab merchants in North Africa since the year 900. When Leo Africanus travelled to West Africa in the 1500s, he recorded in his The Description of Africa and of the Notable Things Therein Contained that, "slaves are the next highest commodity in the marketplace. There is a place where they sell countless slaves on market days." Criminals and prisoners of war, as well as political prisoners were often sold in the marketplaces in Gao, Jenne and Timbuktu.
Perhaps because slavery and slave trading had long existed in much of Africa (though perhaps in forms less brutal than the slavery practised in the Americas), Africans were untroubled by selling slaves to Europeans.
Markerless motion capture and understanding of professional non-daily human movements is an important yet unsolved task, which suffers from complex motion patterns and severe self-occlusion, especially for the monocular setting. In this paper, we propose SportsCap -- the first approach for simultaneously capturing 3D human motions and understanding fine-grained actions from monocular challenging sports video input.
About SportCaps :
SportsCap proposes a challenging sports dataset called Sports Motion and Recognition Tasks (SMART) dataset, which contains per-frame action labels, manually annotated pose, and action assessment of various challenging sports video clips from professional referees.
Their approaches :
This is especially prevalent in non-daily action classes like fitness and sports domains. This can be mitigated, for example, by annotating domain-specific datasets , but that requires a considerable amount of manual annotation efforts, financial resources, and 3D annotations can only be obtained in controlled conditions. Therefore, we propose to learn domain-specific pose-sensitive representations from unlabeled videos, which can be fine tuned using only a small labeled dataset. ...
Learn more about Monocular 3 D Human :
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Answer:
if they like you go full in if you dont know if they like you kiss them on the check
Explanation:
True or false statement? if so then the anwser is false
The correct answer to this open question is the following.
Judge Fujita is sentencing a defendant who is convicted of a felony crime that carries a mandatory sentence of four years in prison. Judge Fujita sentences the defendant to a one-year sentence instead. The judge had the option to modify the sentence under the presumptive sentence.
The presumptive sentence serves as a guideline to the judge when sentencing. It is when the judge decides the appropriate sentence to a specific crime. The presumptive sentence contains the number of years in jail and the kind of fines the judge can dictate. To do this, the judge takes into consideration other factors such as the criminal record of the defendant and the aggravating factors.
