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CHMELAŘ, P.; PEŠEK, M.; VOLF, T.
Original Title
SUNAR-ED: Evend Detection in a Surveillance Network
English Title
Type
Software
Abstract
Surveillance Network Augmented by Retrieval - Event Detection (SUNAR-ED), an open source single-camera computer vision and information-retrieval based surveillance event detection system, which is based on wide area (video) surveillance system (SUNAR). It contains state of the art and experimental methods of object tracking (OpenCV), feature extraction (MPEG-7), search (similarity, spatio-temporal) and learning (Bayes, GMM, HMM, SVM).We have deployed active learning functionality based on moving objects' trajectory statistics and shape classification using VTApi (Video Terror Application programming interface and methodology), a data base interface used for processing and efficient management, indexing, retrieval and analysis of image and video data and related metadata, which was created to unify and accelerate the intelligent vision applications development.
Abstract in English
Keywords
Surveillance, event detection, computer vision, annotation, active learning.
Key words in English
Location
https://sourceforge.net/projects/sunar-ed/
Licence fee
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