Hidden View Synthesis using Real-Time Visual SLAM for Simplifying Video Surveillance Analysis
Understanding and analysing video data from static or mobile surveillance cameras often requires knowledge of the scene and the camera placement. In this article, we provide a way to simplify the user’s task of understanding the scene by rendering the camera view as if observed from the user’s perspective by estimating his position using a real-time visual SLAM system. Augmenting the view is referred to as hidden view synthesis. Compared to previous work, the current approach improves by simplifying the setup and requiring minimal user input. This is achieved by building a map of the environment using a visual SLAM system and then registering the surveillance camera in this map. By exploiting the map, a different moving camera can render hidden views in real- time at 30Hz. We discuss some of the challenges remaining for full automation. Results are shown in an indoor environment for surveillance applications and outdoors with application to improved safety in transport.
C. Mei E. Sommerlade G. Sibley P. Newman I. Reid
LAAS-CNRS University of Oxford
国际会议
2011 IEEE International Conference on Robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)
上海
英文
4240-4245
2011-05-09（万方平台首次上网日期，不代表论文的发表时间）