Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Galoogahi, Hamed Kiani"'
An emerging problem in computer vision is the reconstruction of 3D shape and pose of an object from a single image. Hitherto, the problem has been addressed through the application of canonical deep learning methods to regress from the image directly
Externí odkaz:
http://arxiv.org/abs/1707.04682
In this paper we present a new approach for efficient regression based object tracking which we refer to as Deep- LK. Our approach is closely related to the Generic Object Tracking Using Regression Networks (GOTURN) framework of Held et al. We make t
Externí odkaz:
http://arxiv.org/abs/1705.06839
In this paper, we propose the first higher frame rate video dataset (called Need for Speed - NfS) and benchmark for visual object tracking. The dataset consists of 100 videos (380K frames) captured with now commonly available higher frame rate (240 F
Externí odkaz:
http://arxiv.org/abs/1703.05884
Correlation Filters (CFs) have recently demonstrated excellent performance in terms of rapidly tracking objects under challenging photometric and geometric variations. The strength of the approach comes from its ability to efficiently learn - "on the
Externí odkaz:
http://arxiv.org/abs/1703.04590
Correlation filters take advantage of specific properties in the Fourier domain allowing them to be estimated efficiently: O(NDlogD) in the frequency domain, versus O(D^3 + ND^2) spatially where D is signal length, and N is the number of signals. Rec
Externí odkaz:
http://arxiv.org/abs/1403.7876
Publikováno v:
2016 IEEE Winter Conference on Applications of Computer Vision (WACV); 2016, p1-8, 8p
Autor:
Galoogahi, Hamed Kiani, Sim, Terence
Publikováno v:
2016 IEEE Winter Conference on Applications of Computer Vision (WACV); 2016, p1-8, 8p
Publikováno v:
Toward Robotic Socially Believable Behaving Systems - Volume II; 2016, p185-205, 21p
Publikováno v:
2015 7th International Conference on Games & Virtual Worlds for Serious Applications (VS-Games); 2015, p4630-4638, 9p
Publikováno v:
Image Analysis & Processing, ICIAP 2015: 18th International Conference, Genoa, Italy, September 7-11, 2015, Proceedings, Part II; 2015, p722-732, 11p