Vehicle Tracking using Acoustic and Video Sensors

Abstract

In target tracking, fusing multi-modal sensor data under a power-performance trade-o is becoming increasingly important. Proper fusion of multiple modalities can help in achieving better tracking performance while decreasing the total power consumption. In this paper, we present a framework for tracking a target given joint acoustic and video observations from a co-located acoustic array and a video camera. We demonstrate on eld data that tracking of the direction-of-arrival of a target improves signi - cantly when the video information is incorporated at time instants when the acoustic signal-to-noise ratio is low.

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Document Details

Document Type
Technical Report
Publication Date
Oct 04, 2004
Accession Number
ADA431619

Entities

People

  • Aswin C. Sankaranayanan
  • Gang Qian
  • James H. Mcclellan
  • Qinfen Zheng
  • Rama Chellappa
  • Volkan Cevher

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Acoustic Arrays
  • Acoustic Detectors
  • Acoustic Tracking
  • Acoustics
  • Algorithms
  • Arrays
  • Cameras
  • Data Fusion
  • Detection
  • Detectors
  • Far Field
  • High Resolution
  • Particles
  • Sequential Monte Carlo Methods
  • Time Intervals
  • Universities
  • Video Cameras

Fields of Study

  • Computer science
  • Engineering

Readers

  • Distributed Systems and Data Platform Development
  • Radar Systems Engineering.
  • Sensor Fusion and Tracking Systems.