Research on Video Object Segmentation Algorithm

DOI

10.2991/nceece-15.2016.247How to use a DOI?

Keywords

video surveillance system; object segmentation; decoding

Abstract

The video surveillance system is a more direct monitoring means, widely used in industrial production, transportation, electricity, office buildings and residential areas. Plenty of remote monitoring systems adopt the mode to collect and compress data through local end and remote monitoring center to make decompression processing. This paper analyzed the urban traffic surveillance video streaming, and it regarded vehicles as search targets, which have characteristics of rapid movement, therefore a particular object segmentation method was put forward. The algorithm took advantage of object motion vector in the compressed domain, as well as proposed the new regional connectivity labeling algorithms.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Bo Guan
PY  - 2015/12
DA  - 2015/12
TI  - Research on Video Object Segmentation Algorithm
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 1399
EP  - 1402
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.247
DO  - 10.2991/nceece-15.2016.247
ID  - Guan2015/12
ER  -