Geo-Referenced Dynamic Pushbroom Stereo Mosaics for 3D and Moving Target Extraction - A New Geometric Approach

Abstract

We propose a content-based 3D mosaic (CB3M) representation for long video sequences of 3D and dynamic urban scenes captured by a camera on a mobile platform. In the first phase, a set of parallel-perspective (pushbroom) mosaics with varying viewing directions is generated to capture both the 3D and dynamic aspects of the scene under the camera coverage. In the second phase, a segmentation-based stereo matching algorithm is applied to extract parametric representations of the color, structure and motion of the dynamic and/or 3D objects in urban scenes, where a lot of planar surfaces exist. Multiple pairs of stereo mosaics are used for facilitating reliable stereo matching, occlusion handling, accurate 3D reconstruction and robust moving target detection. We use the fact that all the static objects obey the epipolar geometry of pushbroom stereo, whereas an independent moving object either violates the epipolar geometry if the motion is not in the direction of sensor motion or exhibits unusual 3D structures otherwise. The CB3M is a highly compressed visual representation for a dynamic 3D scene, and has object contents of both 3D and motion information. Experimental results are given for both simulated and several different real video sequences of large-scale 3D scenes to show the accuracy and effectiveness of the representation. Applications include airborne or ground video surveillance, 3D urban scene construction, traffic survey and transportation planning. We also discuss the extension of the method to other kind of camera motion.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2009
Accession Number
ADA513644

Entities

People

  • Edgardo Molina
  • Hao Tang
  • Zhigang Zhu

Organizations

  • City College of New York

Tags

Communities of Interest

  • Air Platforms
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Algorithms
  • Automated Target Recognition
  • Computer Science
  • Computer Vision
  • Detection
  • Detectors
  • Feature Extraction
  • Geometry
  • Ground Vehicles
  • Moving Targets
  • Object Recognition
  • Operating Systems
  • Target Detection
  • Target Recognition
  • Three Dimensional

Fields of Study

  • Computer science

Readers

  • Computer Vision.