Qualitive Detection of Independently Moving Targets in MPEG Video Within the Compressed Domain

Abstract

This is the final report to AFOSR and AFRL/IFEC for the project Qualitative Detection of Independently Moving Targets in MPEG Video within the Compressed Domain. This project focuses on developing theory and techniques for large scale surveillance video data summarization and unsupervised segmentation of video streams regarding whether there is a presence of independent motion in the streams. We propose a holistic, in-compression approach to efficient video prostanding. By efficient, we mean that the processing speed is close to or even faster than real-time in "normal" platforms (we do not assume using special hardware or any parallel machines) while still maintaining comparable quality with state-of-the-art methods. By prostanding, we mean to aim at those tasks that are between the traditional video processing and traditional video understanding. We target surveillance applications.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2004
Accession Number
ADA427149

Entities

People

  • Zhongfei Zhang

Organizations

  • Binghamton University

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Artificial Intelligence
  • Cameras
  • Compression
  • Computations
  • Computer Science
  • Computer Vision
  • Detection
  • Gaussian Noise
  • Identification
  • Image Processing
  • Linear Systems
  • Moving Targets
  • Platforms
  • Recognition
  • Surveillance

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Distributed Systems and Data Platform Development