They require an international organization to enter a sovereign nation, overrule the authority of a legally recognized government, and, at least to a degree, to take sides in an internal conflict. To make a no-fly zone effective, the interveners have to be willing and prepared to confront a rogue regime's aircraft if they violate the ban, and to either engage them in aerial combat or shoot them down with land- or ship-based antiaircraft missiles. That entails the risk that coalition planes may be shot down, and their crews captured or killed. To protect themselves and make the ban more effective, interveners usually must also attack and destroy a regime's airfields, radar installations and anti-aircraft weaponry. That level of force can make a humanitarian intervention start to look more and more like the opening salvo in a strange, problematic sort of war -- one in which one side is constrained by the limits of its mandate from achieving victory. In this article, we'll look at what it requires to impose a no-fly zone, and whether no-fly zones are effective at their intended goal. However, they are not suitable for real world unconstrained video understanding. Most of these works are applied under certain constrains, e.g., only for processing trimmed and/or object-centered video clips. Meanwhile, they usually are specified for certain scenarios, such as person activity, etc. Therefore, such algorithms would fail when being transferred to unconstrained videos on both efficiency and effectiveness. Tube proposal has several drawbacks. First, tube proposals failed to capture the trace of moving objects when cropping the proposals from the original videos. Therefore, learning the activities highly relied on trace would be difficult, e.g. ’vehicle turning right’. Second, the tube proposals still cannot stay away from temporal activity localization to determine the existence of the activities. Inevitably, such methods destroy the completeness of activities. Therefore, it would result in significant degrade of performance. Third, the objects in the tube proposal will suffer from the bounding box shift and distortion across frames, which could result in a high false alarm rate on activity detection. paulette
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