Intelligent pedes tri an-search system based on color queries

Yoo Joo Choi, Ku Jin Kim, We Duke Cho

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we propose an intelligent pedestrian-search system for the video captured by a CCTV camera at a long distance. Our system detects and examines the target-pedestrians in real-time according to the query of their physical attributes. The main contributes of our system are summarized as: (i) stable tracking of the pedestrians from the long-distance images, (ii) fast extraction of the attribute features of pedestrians, and (iii) real-time detection of the pedestrians who wear the clothes that satisfy given color queries. Our system reliably searches and tracks the target-pedestrians in realtime.

Original languageEnglish
Pages (from-to)2193-2206
Number of pages14
JournalInformation
Volume15
Issue number5
StatePublished - May 2012

Keywords

  • Color classification
  • Intelligent surveillance system
  • Object tracking

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