ICRA 2011 Paper Abstract


Paper ThP205.1

Zhu, Junda (The Ohio State University), Zheng, Yuan F. (The Ohio State University), Ewing, Robert (Air Force Research Laboratory, USA)

Measuring Object Speed Using Stereo Tracking

Scheduled for presentation during the Regular Sessions "Vision for Object Recognition" (ThP205), Thursday, May 12, 2011, 15:25−15:40, Room 3G

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 August 19, 2019

Keywords Visual Tracking, Computer Vision for Robotics and Automation


Stereo vision provides us the ability to perceive objects in 3D. By continuously tracking an object in stereo videos, the information about object motion can be acquired. In this paper, we propose a novel method which unifies the tracking and speed measuring within the Bayesian filtering framework and solves this problem using the particle filtering approach. Vehicle speed measuring is studied as a specific example. Environment constraints are integrated into the tracking for reducing the uncertainty to achieve more robust and accurate results. Experiment results on both synthetic and real traffic sequences demonstrate the accuracy and effectiveness of our proposed method.



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