SCOUTER: Content-based multiple-instance object retrieval system

The article presents the main functionalities and outcomes of the SCOUTER project, which is developed by UTI GRUP in partnership with the "Politehnica" University of Bucharest and co-funded by the Romanian R&D National Framework. SCOUTER is built as an offline processing application mo...

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Bibliographic Details
Published in2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) pp. 1 - 4
Main Authors Mitrea, C. A., Carata, S., Ghenescu, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2015
Subjects
Algorithm design and analysis
automated video surveillance
Conferences
content-based object retrieval
Feature extraction
Image color analysis
pattern matching
Search problems
Shape
Video surveillance
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Summary:The article presents the main functionalities and outcomes of the SCOUTER project, which is developed by UTI GRUP in partnership with the "Politehnica" University of Bucharest and co-funded by the Romanian R&D National Framework. SCOUTER is built as an offline processing application module for coping with multiple instance objects retrieval task from video surveillance footage (e.g., searching of a general class, a particular object, retrieval of distinctive regions of interest or patterns). Such functionalities are user-driven as the challenges are derived from the practice of police forensics teams on dealing with analysis of large video datasets. Findings and outputs of the presented project are contributed to the understanding of the constraints and issues that are particular to real-world video surveillance datasets and processing systems and further to alleviate analysis efforts of police investigations.
DOI:10.1109/ICMEW.2015.7169821