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Description
| - 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 %22which are to be detected%22 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.
- 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 %22which are to be detected%22 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. (en)
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Title
| - System for Object Detection and Tracking Using Compressed Domain
- System for Object Detection and Tracking Using Compressed Domain (en)
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skos:prefLabel
| - System for Object Detection and Tracking Using Compressed Domain
- System for Object Detection and Tracking Using Compressed Domain (en)
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skos:notation
| - RIV/00216305:26220/12:PU99736!RIV13-MSM-26220___
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http://linked.open...avai/predkladatel
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/00216305:26220/12:PU99736
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - motion vector, object detection, object tracking, MPEG. (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - The 14th International Conference on Research in Telecommunication Technologies RTT - 2012
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Beneš, Radek
- Hasmanda, Martin
- Říha, Kamil
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http://linked.open...vavai/riv/typAkce
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http://linked.open.../riv/zahajeniAkce
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number of pages
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http://purl.org/ne...btex#hasPublisher
| - Žilinská univerzita v Žiline
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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is http://linked.open...avai/riv/vysledek
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