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如何解决实时视频处理
人脑是我们所知道的最先进的紧凑型处理单元，但由于新的处理器、工具、体系结构和软件，图像处理的改进可能会使机器很快超越我们。新技术和他们的快速采用率拥有巨大的潜力，工业制造和检验，以及医药，消费电子/游戏，当然，机器人。
现在，我们做先进的功能，如比例，积分和微分（PID）功能进行简单的任务，如填补投手水。事实上，我们做这样复杂的运动控制和平衡，机器人可能很快会嫉妒我们。然而，我们杰出的能力之一是我们能够在我们的视野中挑选模式，执行物体识别，深度知觉，跟踪运动和测量相对速度，甚至加速，使我们远离大多数机器。
Early image processing was focused on clarifying sTIll images and many of the algorithms for edge enhancement and bringing out subtle detail were not performed on fast frame rate and highly resolute images. Processors were simpler， slower， and less able to perform DSP funcTIons so results were sketchy， slow to obtain， and nowhere near as reliable as the discerning human eye and brain.
However， as we evolove our machines， we are starTIng to give them superior capabiliTIes that we can’t match， and image and real-time video processing is one of these capabilities our future machines （overlords？） will have.It is thanks to the processors， tools， algorithms， and heuristics that we are formulating now， that we are able to give machines these capabilities that may soon be far in advance of our own.
