STREAM PROCESSING ALGORITHMS FOR DYNAMIC 3D SCENE ANALYSIS

Abstract

The goal of this effort was to take the computation closer to the sensor when it made sense to do so. Wide Area Motion Imagery (WAMI) data was used given the high bandwidth requirements associated with WAMI. Our focus was on; feature detection and matching techniques along the video sequence; developing efficient structure-from-motion and bundle adjustment techniques for high resolution aerial imagery; designing 3D reconstruction algorithm to run on metropolitan-scale data; analytical image stabilization and geo-registration; and developing moving object detection and tracking algorithms. The creation of 3D models from airborne wide area motion imagery (WAMI) will facilitate a number of capabilities including improved geo-registration, increased reliability of target tracking through occlusions and shadows, onboard processing for video object analysis, better modeling of object motion dynamics, and enable high compression of large scale scene imagery for efficient real time downlinks.

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Document Details

Document Type
Technical Report
Publication Date
Feb 15, 2018
Accession Number
AD1047175

Entities

People

  • Kannappan Palaniappan

Organizations

  • University of Missouri

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Biomedical
  • C4I
  • Engineered Resilient Systems
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Algorithms
  • Artificial Intelligence Software
  • Automata Theory
  • Bayesian Networks
  • Cameras
  • Computational Complexity
  • Computational Science
  • Computer Vision
  • Detectors
  • Information Science
  • Kalman Filters
  • Operating Systems
  • Pattern Recognition
  • Reliability
  • Three Dimensional

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Computer Vision.