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Paper WeP210.3

Mei, Christopher (LAAS-CNRS), Sommerlade, Eric (University of Oxford), Sibley, Gabe (University of Oxford), Newman, Paul (Oxford University), Reid, Ian (University of Oxford)

Hidden View Synthesis using Real-Time Visual SLAM for Simplifying Video Surveillance Analysis

Scheduled for presentation during the Regular Sessions "Surveillance, Search and Rescue Robotics" (WeP210), Wednesday, May 11, 2011, 15:55−16:10, Room 5E

2011 IEEE International Conference on Robotics and Automation, May 9-13, 2011, Shanghai International Conference Center, Shanghai, China

This information is tentative and subject to change. Compiled on December 10, 2019

Keywords Surveillance Systems, Telerobotics, Sensor Networks

Abstract

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.

 

 

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