Real-time distributed tracking with non-overlapping cameras

Youlu Wang, Li He, Senem Velipasalar

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

16 Scopus citations

Abstract

We present a real-time distributed system for tracking with non-overlapping camera views. Each camera performs multiobject tracking, and cameras communicate with each other in a peer-to-peer manner for consistent labeling. To match objects across non-overlapping views, we employ multiple features, namely color histogram, height, travel time and speed. First, camera configuration and reference values of different features are learned in the training phase. Then, we combine multiple evidences by computing an overall similarity score, which is a weighted sum of the similarity scores of different features. Communication and frame processing run in parallel and share memory. Experimental results show the success of the presented system in real-time tracking with nonoverlapping cameras and in handling merge cases.

Original languageEnglish (US)
Title of host publication2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
Pages697-700
Number of pages4
DOIs
StatePublished - Dec 1 2010
Externally publishedYes
Event2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong
Duration: Sep 26 2010Sep 29 2010

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2010 17th IEEE International Conference on Image Processing, ICIP 2010
CountryHong Kong
CityHong Kong
Period9/26/109/29/10

Keywords

  • Distributed
  • Multicamera
  • Non-overlapping cameras
  • Real-time
  • Tracking

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Wang, Y., He, L., & Velipasalar, S. (2010). Real-time distributed tracking with non-overlapping cameras. In 2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings (pp. 697-700). [5651101] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2010.5651101