@inproceedings{4c78bad10e3443a58eabeba19efe5936,
title = "Seeing as it happens: Real time 3D video event visualization",
abstract = "We present a video event visualization system that can render steerable 3D views of tracked targets onto a reconstructed 3D site representation. The framework takes object tracking meta-data generated from a multi-camera event tracking system as input and produces an immersive 3D playback as a representation of the observation. This 3D representation can provide users seeing as it happens of the events for surveillance applications. Our system can further 'animate' the virtual viewing camera and generate a first-person immersive playback of the event, either from the trajectory of a specified real-world target or from a virtual avatar. Such synthetic view can provide additional insights for event recognition for on-line monitoring, investigation, and forensic applications.",
keywords = "3D video, animation, event summarization, immersive visualization, surveillance",
author = "Yueming Yang and Chang, \{Ming Ching\} and Peter Tu and Siwei Lyu",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Image Processing, ICIP 2015 ; Conference date: 27-09-2015 Through 30-09-2015",
year = "2015",
month = dec,
day = "9",
doi = "10.1109/ICIP.2015.7351328",
language = "English",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "2875--2879",
booktitle = "2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings",
address = "United States",
}