Temporally consistent tracking and segmentation of people in video

这将研究实时（视频速率）时间一致分割和跟踪非刚性对象（如一般场景视频中的人）的方法，以便实现无缝的实时场景增强（例如为广告插入图形元素，外观编辑）。该项目将主要解决将场景分解为其构成层以及对其运动的密集（表面-点级别）表示的推断。作为研究的一部分，可能探索的其他补充方面包括外观/阴影的提取，以进一步改善生成内容的表示和真实感。本研究的目标应用将包括体育电视镜头、电视转播镜头和YouTube视频内容。

This will research methods for live (video-rate)temporally consistent segmentation and tracking of non-rigid objects such as people in video of general scenes in order to enable seamless real-time scene augmentation (e.g. insertion of graphical elements for advertising, appearance editing). The project will primarily address the decomposition of a scene into its constituting layers and the inference of a dense (surface-point level) representation of their motion. Other complementary aspects that may be explored as part of the research include extraction of appearance/shading to further improve the representation and the realism of the generated content. Target applications of this research will include sports TV footage, TV broadcast footage and YouTube video content.