Publication detail

Automatic Detection of the Direction and Speed of Moving Objects in the Video

ŠMIRG, O. SMÉKAL, Z. DUTTA, M. KAKANI, B.

Original Title

Automatic Detection of the Direction and Speed of Moving Objects in the Video

English Title

Automatic Detection of the Direction and Speed of Moving Objects in the Video

Type

conference paper

Language

en

Original Abstract

This article deals with methods for automatic detection of moving objects in non-standard situations in secure areas, such as nuclear power plants, storage of hazardous materials, etc. Speed and direction, respectively, slow motion to a stop is detected for the monitored object. Specifically: the automatic detection of movement in the opposite direction than normal, passage or move too fast, and stopping or blocking passages. The emphasis is put on real-time processing and on design effective and efficient methods. A new approach is a combination and modification of optical flow techniques and Mixture Of Gaussians method (MOG).

English abstract

This article deals with methods for automatic detection of moving objects in non-standard situations in secure areas, such as nuclear power plants, storage of hazardous materials, etc. Speed and direction, respectively, slow motion to a stop is detected for the monitored object. Specifically: the automatic detection of movement in the opposite direction than normal, passage or move too fast, and stopping or blocking passages. The emphasis is put on real-time processing and on design effective and efficient methods. A new approach is a combination and modification of optical flow techniques and Mixture Of Gaussians method (MOG).

Keywords

Optical flow, Mixture of Gaussian, Farneback, Movement detection, Lucas-Kanade

RIV year

2013

Released

08.08.2013

ISBN

978-1-4799-0190-6

Book

Sixth International Conference on Contemporary Computing

Pages from

86

Pages to

90

Pages count

534

Documents

BibTex


@inproceedings{BUT100911,
  author="Ondřej {Šmirg} and Zdeněk {Smékal} and Malay Kishore {Dutta} and Bhavin V {Kakani}",
  title="Automatic Detection of the Direction and Speed of Moving Objects in the Video",
  annote="This article deals with methods for automatic detection of moving objects in non-standard situations in secure areas, such as nuclear power plants, storage of hazardous materials, etc. Speed and direction, respectively, slow motion to a stop is detected for the monitored object. Specifically: the automatic detection of movement in the opposite direction than normal, passage or move too fast, and stopping or blocking passages. The emphasis is put on real-time processing and on design effective and efficient methods. A new approach is a combination and modification of optical flow techniques and Mixture Of Gaussians method (MOG).",
  booktitle="Sixth International Conference on Contemporary Computing",
  chapter="100911",
  howpublished="electronic, physical medium",
  year="2013",
  month="august",
  pages="86--90",
  type="conference paper"
}