Zobrazeno 1 - 10
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pro vyhledávání: '"čehovin, Luka"'
Autor:
Čehovin, Luka
In this paper we address the problem of developing on-line visual tracking algorithms. We present a specialized communication protocol that serves as a bridge between a tracker implementation and utilizing application. It decouples development of alg
Externí odkaz:
http://arxiv.org/abs/1705.04469
Short-term tracking is an open and challenging problem for which discriminative correlation filters (DCF) have shown excellent performance. We introduce the channel and spatial reliability concepts to DCF tracking and provide a novel learning algorit
Externí odkaz:
http://arxiv.org/abs/1611.08461
Deformable parts models show a great potential in tracking by principally addressing non-rigid object deformations and self occlusions, but according to recent benchmarks, they often lag behind the holistic approaches. The reason is that potentially
Externí odkaz:
http://arxiv.org/abs/1605.03720
Publikováno v:
Computer Networks, Volume 93, Part 2, 24 December 2015
Community networks differ from regular networks by their organic growth patterns -- there is no central planning body that would decide how the network is built. Instead, the network grows in a bottom-up fashion as more people express interest in par
Externí odkaz:
http://arxiv.org/abs/1601.02372
Autor:
Kristan, Matej, Matas, Jiri, Leonardis, Ales, Vojir, Tomas, Pflugfelder, Roman, Fernandez, Gustavo, Nebehay, Georg, Porikli, Fatih, Cehovin, Luka
This paper addresses the problem of single-target tracker performance evaluation. We consider the performance measures, the dataset and the evaluation system to be the most important components of tracker evaluation and propose requirements for each
Externí odkaz:
http://arxiv.org/abs/1503.01313
Publikováno v:
IEEE Transactions on Image Processing (March 2016), 1261 - 1274
The problem of visual tracking evaluation is sporting a large variety of performance measures, and largely suffers from lack of consensus about which measures should be used in experiments. This makes the cross-paper tracker comparison difficult. Fur
Externí odkaz:
http://arxiv.org/abs/1502.05803
Publikováno v:
In Computer Networks 24 December 2015 93 Part 2:279-296
Autor:
Čehovin, Luka1 luka.cehovin@fri.uni-lj.si, Bosnić, Zoran1
Publikováno v:
Intelligent Data Analysis. 2010, Vol. 14 Issue 3, p265-281. 17p. 5 Diagrams, 5 Charts.
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