Multiple vehicle tracking in surveillance videos

Zhai Yun, Phillip Berkowitz, Andrew Edmund Miller, Khurram Shafique, Aniket Vartak, Brandyn White, Mubarak Shah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we present KNIGHT, a Windows-based stand-alone object detection, tracking and classification software, which is built upon Microsoft Windows technologies. The object detection component assumes stationary background settings and models background pixel values using Mixture of Gaussians. Gradient-based background subtraction is used to handle scenarios of sudden illumination change. Connected-component algorithm is applied to detected foreground pixels for finding object-level moving blobs. The foreground objects are further tracked based on a pixel-voting technique with the occlusion and entry/exit reasonings. Motion correspondences are established using the color, size, spatial and motion information of objects. We have proposed a texture-based descriptor to classify moving objects into two groups: vehicles and persons. In this component, feature descriptors are computed from image patches, which are partitioned by concentric squares. SVM is used to build the object classifier. The system has been used in the VACE-CLEAR evaluation forum for the vehicle tracking task. Corresponding system performance is presented in this paper.

Original languageEnglish (US)
Title of host publicationMultimodal Technologies for Perception of Humans - First International Evaluation Workshop on Classification of Events, Activities and Relationships, CLEAR 2006 Revised Selected Papers
Pages200-208
Number of pages9
StatePublished - 2007
Externally publishedYes
Event1st International Evaluation Workshop on Classification of Events, Activities and Relationships, CLEAR 2006 - Southhampton, United Kingdom
Duration: Apr 6 2006Apr 7 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4122 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Evaluation Workshop on Classification of Events, Activities and Relationships, CLEAR 2006
Country/TerritoryUnited Kingdom
CitySouthhampton
Period4/6/064/7/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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