Temporally consistent tracking and segmentation of people in video
Lead Research Organisation:
University of Surrey
Department Name: Vision Speech and Signal Proc CVSSP
Abstract
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.
Organisations
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
EP/R513350/1 | 01/10/2018 | 30/09/2023 | |||
2679495 | Studentship | EP/R513350/1 | 03/01/2022 | 30/12/2024 | Samuel Gowland |