Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Sami Huttunen"'
Autor:
Eero Väyrynen, Jukka Holappa, Antti Siipo, S. Laukka, Anja Keskinarkaus, Ilkka Juuso, Sami Huttunen, Tapio Seppänen, Janne Heikkilä, Matti Lehtihalmes, Magda Laszlo
Publikováno v:
Multimedia Tools and Applications. 75:6321-6345
The MORE system is designed for observation and machine-aided analysis of social interaction in real life situations, such as classroom teaching scenarios and business meetings. The system utilizes a multichannel approach to collect data whereby mult
Autor:
Lauri Eklund, Varpu Marjomäki, Mika Kaakinen, Sami Huttunen, Janne Heikkilä, Lassi Paavolainen
Publikováno v:
Journal of Microscopy. 253:65-78
Phase-contrast illumination is simple and most commonly used microscopic method to observe nonstained living cells. Automatic cell segmentation and motion analysis provide tools to analyze single cell motility in large cell populations. However, the
Publikováno v:
ICIP
Given an image sequence and odometry from a moving camera, we propose a batch-based approach for robust reconstruction of scene structure and camera motion. A key part of our method is robust loop closure disambiguation. First, a structure-from-motio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44579ba6caf25ba99071099302c86b53
http://juuli.fi/Record/0274769516
http://juuli.fi/Record/0274769516
Publikováno v:
Image Analysis ISBN: 9783642212260
SCIA
SCIA
In this paper we study different approaches that can be used in recognizing landscape scenes. The primary goal has been to find an accurate but still computationally light solution capable of real-time operation. Recognizing landscape images can be t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de38c639c3bd548f2186124009da210b
https://doi.org/10.1007/978-3-642-21227-7_32
https://doi.org/10.1007/978-3-642-21227-7_32
Publikováno v:
ICDSC
Distributed smart cameras and sensors have been an active area of research in recent years. Most of the research has focused on either the machine vision algorithms or on a specific implementation. There has been less activity on building generic fra
Autor:
Janne Heikkilä, Sami Huttunen
Publikováno v:
ICIP
In this paper, we introduce a new method for tracking multiple objects. The method combines Kalman filtering and the Expectation Maximization (EM) algorithm in a novel way to deal with observations that obey a Gaussian mixture model instead of a unim
Publikováno v:
IET 4th European Conference on Visual Media Production (CVMP 2007).
A new motion-based tracking algorithm for user interaction with hand-held mobile devices is presented. The idea is to allow mobile phone users to control the device simply by moving a finger in front of a camera. A novel combination of Kalman filteri
Autor:
Sami Huttunen, Janne Heikkilä
Publikováno v:
AVSS
We present a system for automatic head tracking with a single pan-tilt-zoom (PTZ) camera. In distance education the PTZ tracking system developed can be used to follow a teacher actively when s/he moves in the classroom. In other videoconferencing ap
Autor:
Kaakinen M; Biocenter Oulu, University of Oulu, Finland; Mika Kaakinen and Sami Huttunen contributed equally to this work., Huttunen S, Paavolainen L, Marjomäki V, Heikkilä J, Eklund L
Publikováno v:
Journal of microscopy [J Microsc] 2014 Jan; Vol. 253 (1), pp. 65-78. Date of Electronic Publication: 2013 Nov 26.