Detail publikace

System for Object Detection and Tracking Using Compressed Domain

HASMANDA, M. BENEŠ, R. ŘÍHA, K.

Originální název

System for Object Detection and Tracking Using Compressed Domain

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper presents possibilities of using motion vectors included in encoded MPEG or H.264 videos to detect and track various objects, especially people. Currently, there are techniques based on optical flow applied on segmented images. Such methods often have high time complexity, which can complicate their utilization for real-time applications. In addition, most of segmentation based methods fail when multiple objects "which are to be detected" are overlapping. In the proposed approach, motion vectors that were already calculated during video compression are utilized. This new approach could be useful when processing the data stream directly from a camera - in such a case algorithm speed is an essential criterion. The main disadvantage of this approach resides in its dependency on the accuracy of the compression algorithm of encoder, which calculates motion vectors. The proposed method was tested on a real video-sequences containing moving object captured by common cameras.

Klíčová slova

motion vector, object detection, object tracking, MPEG.

Autoři

HASMANDA, M.; BENEŠ, R.; ŘÍHA, K.

Rok RIV

2012

Vydáno

12. 9. 2012

Nakladatel

University of Zilina

Místo

Zilina

ISBN

978-80-554-0569-8

Kniha

The 14th International Conference on Research in Telecommunication Technologies RTT - 2012

Edice

1

Strany od

259

Strany do

263

Strany počet

5

BibTex

@inproceedings{BUT93851,
  author="Martin {Hasmanda} and Radek {Beneš} and Kamil {Říha}",
  title="System for Object Detection and Tracking Using Compressed Domain",
  booktitle="The 14th International Conference on Research in Telecommunication Technologies RTT - 2012",
  year="2012",
  series="1",
  pages="259--263",
  publisher="University of Zilina",
  address="Zilina",
  isbn="978-80-554-0569-8"
}