Computer Vision Optimization Problems Using Machine Learning

计算机视觉致力于通过分析视频或静止摄像机获得的图像来理解世界。一个重要的应用是跟踪视频中的人并对他们的动作进行建模。这在安全、体育和娱乐领域有着明显的应用。通过使计算机能够捕获视频中对象的运动，我们可以检测安全中的可疑活动，分析运动员的运动(高尔夫球挥杆、跳水风格)，或者捕获演员的运动以用于动画或游戏应用。开发可靠的技术需要新的优化技术，这将使澳大利亚在商业和公共利益方面处于此类研究应用的前沿。

Computer Vision concerns itself with understanding the world through the analysis of images obtained by a video or still camera. An important application is tracking of people in video and modelling their movements. This has evident applications in security, sport and entertainment. By enabling the computer to capture the motion of a subject in a video, we may detect suspicious activity in security, analyze the motion (golf-swing, diving style) of a sports-person, or capture the motion of an actor for animation or game applications. Development of a reliable technology requires new optimization techniques, which will place Australia at the forefront of the application of such research, commercially and for the public benefit.