Active camera control from compressed image streams

W. Brent Seales, Matthew D. Cutts

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations


In this paper we describe a new framework to control an active camera platform in order to improve the performance of tasks such as active stereo vision. This framework encompasses both calibrated and uncalibrated operations. We show how to control the camera system by making measurements as much as possible on compressed video streams. Coarse depth information, object segmentation, and focus and zoom control can be obtained from JPEG/MPEG streams without complete image stream decompression. When better accuracy is required, finer resolution depth maps can be reconstructed in the usual way by completely recovering the pixel information in the frames of the video stream. Our experimental results show the potential of these strategies for active vision systems.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsPaul S. Schenker, Gerard T. McKee
Number of pages8
StatePublished - 1995
EventSensor Fusion and Networked Robotics VIII - Philadelphia, PA, USA
Duration: Oct 23 1995Oct 24 1995

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


ConferenceSensor Fusion and Networked Robotics VIII
CityPhiladelphia, PA, USA

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


Dive into the research topics of 'Active camera control from compressed image streams'. Together they form a unique fingerprint.

Cite this