DCT-Based Motion Estimation

Abstract

A new motion estimation approach, the DCT-Based Motion Estimation Scheme (DXT-ME) utilizing the sinusoidal orthogonal principles to estimate displacements of moving objects in the transform domain, based upon the concept of pseudo phases, is presented in this paper. The computational complexity of this method is only O(N2) for an N x N block in comparison to the O(N4) complexity of Full Search Block Matching Approach (BMA-ME). In addition, the DXT-ME algorithm has solely highly parallel local operations and this property makes parallel implementation feasible. Furthermore, incorporation of DXT-ME with a video coder using DCT can combine the DCT and motion estimation algorithm to achieve further saving in overall system complexity and increase the system throughput. Unlike the pel-recursive algorithm, this scheme is robust for even very noisy images. Due to its feature matching property, we can employ simple preprocessing on images of complicated scenery to extract the features of moving objects for DXT-ME to further improve its performance. Finally simulation on a number of video sequences is presented to compare DXT-ME with BMA-ME.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1995
Accession Number
ADA452980

Entities

People

  • K. J. Ray Liu
  • Ut-va Koc

Organizations

  • University of Maryland

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Availability
  • Classification
  • Computational Complexity
  • Contracts
  • Displacement
  • Electrical Engineering
  • Engineering
  • Information Operations
  • Instructions
  • Maryland
  • Mathematics
  • Monitoring
  • Preprocessing
  • Security
  • Universities

Fields of Study

  • Computer science
  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Vision.