A Tool for Vision Based Pedestrian Detection Performance Evaluation

Abstract

This paper describes a system for evaluating pedestrian detection algorithm results. The developed tool allows a human operator to annotate on a file all pedestrians in a previously acquired video sequence. A similar file is produced by the algorithm being tested using the same annotation engine. A matching rule has been established to valid~te the association between items of the two files. For each frame a statistical analyzer extracts the number of mis-detections, both positive and negative, and correct detections. Using these data, statistics about the algorithm behavior are computed with the aim of tuning parameters and pointing out recognition weaknesses in particular situations.

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Document Details

Document Type
Technical Report
Publication Date
Jun 06, 2004
Accession Number
ADA576444

Entities

People

  • A. Broggi
  • A. Tibaldi
  • M. Bertozzi
  • Mike Del Rose
  • P. Grisleri

Organizations

  • United States Army Tank Automotive Research, Development and Engineering Center

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Case Studies
  • Computer Vision
  • Correlation Analysis
  • Data Science
  • Detection
  • Detectors
  • Graphical User Interface
  • Information Science
  • Quality Control
  • Radio Transmitters
  • Recognition
  • Sequences
  • Statistics
  • Test And Evaluation
  • User Interface

Readers

  • Computer Vision.
  • Database Systems and Applications