a Real-Time System for Classification of Moving Objects

Ehud Rivlin, Michael Rudzsky, Roman Goldenberg, Yuri Bogomolov, and Stanislav Lapchev.
A Real-Time System for Classification of Moving Objects.
In ICPR (3), 688-691, 2002

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Abstract

The paper describes a system for moving object classification. Being restricted by real-time system constraints we found a small set of features, characterizing object shape and motion dynamics. The system was tested on a large movies database including more than 100 images sequences showing people, animals, vehicles and plants in motion. The SVM classifier [1] was used in our system, yielding very good classification results.

Co-authors

Bibtex Entry

@inproceedings{RivlinRGBL02i,
  title = {A Real-Time System for Classification of Moving Objects.},
  author = {Ehud Rivlin and Michael Rudzsky and Roman Goldenberg and Yuri Bogomolov and Stanislav Lapchev},
  year = {2002},
  booktitle = {ICPR (3)},
  pages = {688-691},
  abstract = {The paper describes a system for moving object classification. Being restricted by real-time system constraints we found a small set of features, characterizing object shape and motion dynamics. The system was tested on a large movies database including more than 100 images sequences showing people, animals, vehicles and plants in motion. The SVM classifier [1] was used in our system, yielding very good classification results.}
}