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HASMANDA, M. BENEŠ, R. ŘÍHA, K.
Original Title
System for Object Detection and Tracking Using Compressed Domain
Type
conference paper
Language
English
Original Abstract
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.
Keywords
motion vector, object detection, object tracking, MPEG.
Authors
HASMANDA, M.; BENEŠ, R.; ŘÍHA, K.
RIV year
2012
Released
12. 9. 2012
Publisher
University of Zilina
Location
Zilina
ISBN
978-80-554-0569-8
Book
The 14th International Conference on Research in Telecommunication Technologies RTT - 2012
Edition
1
Pages from
259
Pages to
263
Pages count
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" }