Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Jan Salmen"'
Publikováno v:
Frontiers in Physiology, Vol 14 (2023)
The aims of the study were to analyze metabolic power (MP) and MP derived parameters for different positions in the German Soccer Bundesliga and to evaluate if classification of high-intensity is more suited using the metabolic power approach instead
Externí odkaz:
https://doaj.org/article/910527106b50470ca2a310c6fd15dc9f
Publikováno v:
Journal of Real-Time Image Processing. 13:345-361
Computer-aided sports analysis is demanded by coaches and the media. Image processing and machine learning techniques that allow for “live” recognition and tracking of players exist. But these methods are far from collecting and analyzing event d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2391efe27a2193d9106f98d01f52964
https://doi.org/10.1007/s11554-014-0406-1
https://doi.org/10.1007/s11554-014-0406-1
Publikováno v:
KI - Künstliche Intelligenz. 27:235-240
Die Automatisierung der Videoanalyse nimmt im Profisport eine immer wichtigere Rolle ein. Im Fusball kommt dabei der Auswertung der Laufwege der Spieler eine besondere Bedeutung zu. Der vorliegende Bericht dokumentiert unser Kooperationsprojekt zum c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89d8759b70351ba9dabaee5da399983f
https://doi.org/10.1007/s13218-013-0237-4
https://doi.org/10.1007/s13218-013-0237-4
Publikováno v:
Pattern Recognition Letters. 31:1903-1907
For fast classification under real-time constraints, as required in many image-based pattern recognition applications, linear discriminant functions are a good choice. Linear discriminant analysis (LDA) computes such discriminant functions in a space
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b167e85d8a06144ac168abb0e1900fa
https://doi.org/10.1016/j.patrec.2010.03.001
https://doi.org/10.1016/j.patrec.2010.03.001
Publikováno v:
IJCNN
The time-consuming search for parking lots could be assisted by efficient routing systems. Still, the needed vacancy detection is either very hardware expensive, lacks detail or does not scale well for industrial application. This paper presents a vi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccb3435347a8309b69389b681fcddc74
https://igi.indrastra.com/items/show/21443
https://igi.indrastra.com/items/show/21443
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 13:1481-1483
This Special Issue, comprised of four articles, is dedicated to recent developments in the application of machine learning algorithms to traffic sign recognition. The recognition of traffic signs is a challenging real-world problem, which is relevant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc2239def7911f68ead850a960ff4dd2
https://doi.org/10.1109/tits.2012.2225192
https://doi.org/10.1109/tits.2012.2225192
Publikováno v:
IJCNN
Real-time detection of traffic signs, the task of pinpointing a traffic sign's location in natural images, is a challenging computer vision task of high industrial relevance. Various algorithms have been proposed, and advanced driver assistance syste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::382714f9f15a48091c781041f80d718c
https://doi.org/10.1109/ijcnn.2013.6706807
https://doi.org/10.1109/ijcnn.2013.6706807
Publikováno v:
Intelligent Vehicles Symposium
Even for experienced drivers handling a roll trailer with a passenger car is a difficult and often tedious task. Moreover, the driver needs to keep track of the trailer's driving stability on unsteady roads. There are driver assistance systems that c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c73ebd68ee29f136474f667a01ee6d8
https://doi.org/10.1109/ivs.2013.6629626
https://doi.org/10.1109/ivs.2013.6629626
Publikováno v:
Intelligent Vehicles Symposium
Semi-Global Matching (SGM) is arguably one of the most popular algorithms for real-time stereo vision. It is already employed in mass production vehicles today. Thinking of applications in intelligent vehicles (and fully autonomous vehicles in the lo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b562d760575fc8b2c4036ba3ce2ba1e9
https://doi.org/10.1109/ivs.2013.6629629
https://doi.org/10.1109/ivs.2013.6629629
Publikováno v:
Intelligent Vehicles Symposium
For the development of vision-based driver assistance systems, large amounts of data are needed, e.g., for training machine learning approaches, tuning parameters, and comparing different methods. There are basically three possible ways to obtain the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5753d2d216022216851a195a4c745d5
https://doi.org/10.1109/ivs.2012.6232195
https://doi.org/10.1109/ivs.2012.6232195