Peter Ahrendt
Peter Ahrendt
Alexandra Institute
Verified email at - Homepage
Cited by
Cited by
Kinect depth sensor evaluation for computer vision applications
MR Andersen, T Jensen, P Lisouski, AK Mortensen, MK Hansen, ...
Aarhus University, 1-37, 2012
Temporal feature integration for music genre classification
A Meng, P Ahrendt, J Larsen, LK Hansen
IEEE Transactions on Audio, Speech, and Language Processing 15 (5), 1654-1664, 2007
Development of a real-time computer vision system for tracking loose-housed pigs
P Ahrendt, T Gregersen, H Karstoft
Computers and Electronics in Agriculture 76 (2), 169-174, 2011
Weight prediction of broiler chickens using 3D computer vision
AK Mortensen, P Lisouski, P Ahrendt
Computers and Electronics in Agriculture 123, 319-326, 2016
The multivariate gaussian probability distribution
P Ahrendt
Technical University of Denmark, Tech. Rep 203, 2005
Improving music genre classification by short time feature integration
A Meng, P Ahrendt, J Larsen
Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005
Trends in robotic sensor technologies for fruit harvesting: 2010-2015
A Zujevs, V Osadcuks, P Ahrendt
Procedia Computer Science 77, 227-233, 2015
Automatic behaviour analysis system for honeybees using computer vision
GJ Tu, MK Hansen, P Kryger, P Ahrendt
Computers and Electronics in Agriculture 122, 10-18, 2016
Decision time horizon for music genre classification using short time features
P Ahrendt, A Meng, J Larsen
2004 12th European Signal Processing Conference, 1293-1296, 2004
Novel stretch-sensor technology allows quantification of adherence and quality of home-exercises: a validation study
MS Rathleff, T Bandholm, P Ahrendt, JL Olesen, K Thorborg
British journal of sports medicine 48 (8), 724-728, 2014
Measurement adherence in the blood pressure self-measurement room
S Wagner, NH Buus, B Jespersen, P Ahrendt, OW Bertelsen, ...
TELEMEDICINE and e-HEALTH 19 (11), 826-833, 2013
Co-occurrence models in music genre classification
P Ahrendt, J Larsen, C Goutte
2005 IEEE Workshop on Machine Learning for Signal Processing, 247-252, 2005
Dynamic navicular motion measured using a stretch sensor is different between walking and running, and between over-ground and treadmill conditions
CJ Barton, SL Kappel, P Ahrendt, O Simonsen, MS Rathleff
Journal of Foot and Ankle Research 8, 1-8, 2015
Towards cognitive component analysis
LK Hansen, P Ahrendt, J Larsen
AKRR’05-International and Interdisciplinary Conference on Adaptive Knowledge …, 2005
A novel method for measuring in-shoe navicular drop during gait
SL Kappel, MS Rathleff, D Hermann, O Simonsen, H Karstoft, P Ahrendt
Sensors 12 (9), 11697-11711, 2012
Music genre classification systems-a computational approach
P Ahrendt
Technical University of Denmark, 2006
Music Genre Classification using the multivariate AR feature integration model
P Ahrendt, A Meng
Extended Abstract, 2005
Reliable blood pressure self-measurement in the obstetric waiting room
S Wagner, CH Kamper, NH Rasmussen, P Ahrendt, TS Toftegaard, ...
Methods of Information in Medicine 53 (03), 225-234, 2014
Vibration signatures in ball bearings as a function of lubricant viscosity ratio κ, under alternating lubrication conditions
MO Jakobsen, ES Herskind, K Bjerge, P Ahrendt, CF Pedersen, ...
Tribology International 156, 106840, 2021
Motion analysis of optically trapped particles and cells using 2D Fourier analysis
MV Kristensen, P Ahrendt, TB Lindballe, OHA Nielsen, AP Kylling, ...
Optics express 20 (3), 1953-1962, 2012
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