1 / 10

Stereo Vision Application in Object Tracking Research

Explore the definition, uses, and implementation of stereo vision in object tracking research. Learn about related work, problems, and solutions in optimizing object detection and tracking. Discover how stereo vision works and its applications in robot localization, mapping, and human interaction.

timothy-hayden
Télécharger la présentation

Stereo Vision Application in Object Tracking Research

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Application of Stereo Vision in Tracking James Smith NSF REU- Summer 2011 *This research is supported by NSF Grant No. CNS 1005212. Opinions, findings, conclusions, or recommendations expressed in this paper are those of the author(s) and do not necessarily reflect the views of NSF

  2. Overview • Definition and Uses • Related Work • Implementation • Research and Current Problems

  3. Definition • What is stereo vision? • Why is it used?

  4. Related Work • Multiple View Geometry in Computer Vision Richard Hartley, Andrew Zisserman • Robot Localization and Mapping • Human Interaction

  5. How It Works

  6. How It Works D = f * [ (b/(v1 + v2)) - 1] National Instruments, http://zone.ni.com/devzone/cda/tut/p/id/8176

  7. Left Camera Image Disparity Image

  8. Research and Problems • Optimized Object Detection • Single/Multiple Object Tracking

  9. Left Camera Image Disparity Image

  10. References • National Instruments – Developer Zone: Robotics Fundamentals, December 10, 2008 URL: http://zone.ni.com/cms/images/devzone/tut/tlmqnfhd36037.jpg • Se, S.; Lowe, D.; Little, J.; , "Vision-based mobile robot localization and mapping using scale-invariant features," Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International Conference on , vol.2, no., pp. 2051- 2058 vol.2, 2001 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=932909&isnumber=20183 • Richard Hartley; Andrew Zisserman; “Multiple View Geometry in Stereo Vision”, 2003

More Related