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，以实现无缝实时场景增强（例如插入广告图形元素，外观编辑）。该项目将主要解决一个场景分解成其构成层和推理的密集（表面点水平）表示他们的运动。作为研究的一部分，可以探索的其他补充方面包括提取外观/阴影，以进一步改善所生成内容的表示和真实感。这项研究的目标应用将包括体育电视镜头，电视广播镜头和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.