System for Object Detection and Tracking Using Compressed Domain

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F12%3APU99736" target="_blank" >RIV/00216305:26220/12:PU99736 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

System for Object Detection and Tracking Using Compressed Domain

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

System for Object Detection and Tracking Using Compressed Domain

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

<a href="/cs/project/ME10123" target="_blank" >ME10123: Výzkum algoritmů pro zpracování digitálních obrazů a obrazových sekvencí</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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

ISBN

978-80-554-0569-8

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

259-263

Název nakladatele

University of Zilina

Místo vydání

Zilina

Místo konání akce

Vrátna, SK

Datum konání akce

1. 9. 2012

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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