Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Borislav Antic"'
Autor:
Björn Ommer, Borislav Antic
Publikováno v:
ICCV
Object, action, or scene representations that are corrupted by noise significantly impair the performance of visual recognition. Typically, partial occlusion, clutter, or excessive articulation affects only a subset of all feature dimensions and, mos
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319245737
MICCAI (3)
MICCAI (3)
Stroke is a major cause of adult disability and rehabilitative training is the prevailing approach to enhance motor recovery. However, the way rehabilitation helps to restore lost motor functions by continuous reshaping of kinematics is still an open
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fde67e41a55f77acd2d9b41e38392272
https://doi.org/10.1007/978-3-319-24574-4_56
https://doi.org/10.1007/978-3-319-24574-4_56
Autor:
Borislav Antic, Björn Ommer
Publikováno v:
Computer Vision – ECCV 2014 ISBN: 9783319105895
ECCV (1)
ECCV (1)
The collective activity of a group of persons is more than a mere sum of individual person actions, since interactions and the context of the overall group behavior have crucial influence. Consequently, the current standard paradigm for group activit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cafad388117b1af1eae4a77b3f2b0a9c
https://doi.org/10.1007/978-3-319-10590-1_3
https://doi.org/10.1007/978-3-319-10590-1_3
Publikováno v:
ICCV Workshops
Action recognition is an important precursor for understanding human activities in videos. The current paradigm of action recognition is to classify a video sequence as a whole. However, actions usually occur only in part of a video sequence, renderi
Autor:
Borislav Antic, Björn Ommer
Publikováno v:
Computer Vision – ACCV 2012 ISBN: 9783642374432
ACCV (2)
ACCV (2)
Multiple-instance learning consists of two alternating optimization steps: learning a classifier with missing labels and finding the missing labels with the classifier. These steps are iteratively performed on the same training data, thus imputing la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47fe0516a02a16c09862d8f74f63c869
https://doi.org/10.1007/978-3-642-37444-9_19
https://doi.org/10.1007/978-3-642-37444-9_19
Autor:
Björn Ommer, Borislav Antic
Publikováno v:
ICCV
Detecting abnormalities in video is a challenging problem since the class of all irregular objects and behaviors is infinite and thus no (or by far not enough) abnormal training samples are available. Consequently, a standard setting is to find abnor
Publikováno v:
ICIP
In this paper, we propose a novel method for denoising images corrupted by the mixture of the additive white Gaussian noise and the heavy tailed noise. The proposed method is based on robust statistical approach, i.e. application of M-estimators in t
Publikováno v:
ICIP
The paper presents an efficient and reliable approach to automatic people segmentation, tracking and counting, designed for a system with an overhead mounted (zenithal) camera. Upon the initial block-wise background subtraction, k-means clustering is
Publikováno v:
ICIP
In real-world surveillance systems, where variation of light and camera parameters can sometimes severely impair the normal operation of background subtraction algorithms, better results are obtained with differencing schemes. We have earlier demonst
Publikováno v:
DPS
Moving object detection in video sequences presents an important problem in computer vision. If a video sequence is generated by a stationary video camera, one usually attempts to build a statistical model of the background and an appropriate statist