Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Kutalmis Gokalp Ince"'
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).
We propose a semi-automatic bounding box annotation method for visual object tracking by utilizing temporal information with a tracking-by-detection approach. For detection, we use an off-the-shelf object detector which is trained iteratively with th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd9da3356295e476ec466e3c257adca7
https://doi.org/10.1109/iccvw54120.2021.00143
https://doi.org/10.1109/iccvw54120.2021.00143
Publikováno v:
CVPR Workshops
A novel image matching method is proposed that utilizes learned features extracted by an off-the-shelf deep neural network to obtain a promising performance. The proposed method uses pre-trained VGG architecture as a feature extractor and does not re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be4dc60c7507ac68f6e57def3e6c810a
https://doi.org/10.1109/cvprw53098.2021.00484
https://doi.org/10.1109/cvprw53098.2021.00484
Deep learning-based image matching methods are improved significantly during the recent years. Although these methods are reported to outperform the classical techniques, the performance of the classical methods is not examined in detail. In this stu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3ebb0ff3ed0596e62f7f8eb7bb945f1
Publikováno v:
SIU
In this paper, principal component analysis (PCA), laplacian pyramid (LP), discrete wavelet transform (DWT), non-subsampled contourlet transform (NSCT), Bayesian PCA (BPCA), and non-negative matrix factorization (NMF) methods are compared in order to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c00bf561235f929274d0e3fc57ef672f
https://doi.org/10.1109/siu.2018.8404815
https://doi.org/10.1109/siu.2018.8404815
Publikováno v:
ICIP
In this study, a novel gradient ascent approach is proposed for super-pixel extraction in which spectral statistics and super-pixel geometry are utilized to obtain an optimal Bayesian classifier for pixel to super-pixel label assignment. Utilization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c40e8307a4cba1cbcaa09dee1ae09bc7
https://doi.org/10.1109/icip.2015.7351575
https://doi.org/10.1109/icip.2015.7351575
Publikováno v:
SIU
Background modeling is commonly used in image processing applications. Stationary camera assumption, the basic assumption of background modeling, becomes invalid in some cases such as movement of camera, movement of platform on which the camera is mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68623c7c6364435a8c8c7b2252b793f8
https://doi.org/10.1109/siu.2014.6830448
https://doi.org/10.1109/siu.2014.6830448