dhr. dr. ing. G. (Gwenn) Englebienne - Universiteit van Amsterdam

2014

K. Rieping, G. Englebienne & B.J.A. Kröse (2014). Behavior Analysis of Elderly using Topic Models. Pervasive and Mobile Computing, 15, 181-199.
B.J.A. Kröse, T.J.M. van Oosterhout & G. Englebienne (2014). Video Surveillance for Behaviour Monitoring in Home Health Care. In A.J. Spink, L.W.S. Loijens, M. Woloszynowska-Fraser & L.P.J.J. Noldus (Eds.), Proceedings of Measuring Behavior.
A. Nait Aicha, G. Englebienne & B. Kröse (2014). Modeling Visit Behaviour in Smart Homes using Unsupervised Learning. In UbiComp'14 adjunct: proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: September 13-17, 2014, Seattle, WA, USA (pp. 1193-1200). New York, NY: Association for Computing Machinery.
N. Hu, Z. Lou, G. Englebienne & B.J.A. Kröse (2014). Learning to Recognize Human Activities from Soft Labeled Data. In Robotics: Science and Systems (RSS). Berkeley, USA.
N. Hu, G. Englebienne & B. Kröse (2014). A two-layered approach to recognize high-level human activities. In 2014 IEEE RO-MAN: The 23rd IEEE International Symposium on Robot and Human Interactive Communication, August 25-29, 2014, Edinburgh, Scotland, UK. Proceedings (pp. 243-248). Edinburgh, UK.
N. Hu, G. Englebienne, Z. Lou & B. Kröse (2014). Learning latent structure for activity recognition. In 2014 IEEE International Conference on Robotics and Automation (ICRA 2014): Hong Kong, China, 31 May - 7 June 2014. Proceedings (pp. 1048-1053). Piscataway, NJ: IEEE.
F. Javier Ordoñez, G. Englebienne, P. de Toledo, T. van Kasteren, A. Sanchez & B. Kröse (2014). In-Home Activity Recognition: Bayesian Inference for Hidden Markov Models. IEEE Pervasive Computing, 13 (3), 67-75. doi: 10.1109/MPRV.2014.52

2013

V. John, G. Englebienne & B. Kröse (2013). Solving Person Re-identification in Non-overlapping Camera using Efficient Gibbs Sampling. In T. Burghardt, D. Damen, W. Mayol-Cuevas & M. Mirmehdi (Eds.), Proceedings of the British Machine Vision Conference 2013 (pp. 55.1-55.11). BMVA.[go to publisher's site]
V. John, G. Englebienne & B. Kröse (2013). Person re-identification using height-based gait in colour depth camera. In 2013 IEEE International Conference on Image Processing: ICIP 2013: Proceedings: September 15-18, 2013, Melbourne, Victoria, Australia (pp. 3345-3349). Piscataway, NJ: IEEE.
H. Hung, G. Englebienne & J. Kools (2013). Classifying social actions with a single accelerometer. In UbiComp'13: proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing: September 8-12, 2013, Zurich, Switzerland (pp. 207-210). New York, NY: ACM.
H. Hung & G. Englebienne (2013). Systematic evaluation of social behaviour modelling with a single accelerometer. In UbiComp'13 adjunct: adjunct publication of the 2013 ACM Conference on Ubiquitous Computing: September 8-12, 2013, Zurich, Switzerland (pp. 127-130). New York, NY: ACM.[go to publisher's site]
A. Nait Aicha, G. Englebienne & B. Kröse (2013). How lonely is your grandma? Detecting the visits to assisted living elderly from wireless sensor network data. In UbiComp'13 adjunct: adjunct publication of the 2013 ACM Conference on Ubiquitous Computing: September 8-12, 2013, Zurich, Switzerland (pp. 1285-1294). New York, NY: ACM.
N. Hu, G. Englebienne & B. Kröse (2013). Posture Recognition with a Top-view Camera. In S. Sugano & M. Kaneko (Eds.), Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 2152-2157). New York, NY: Institute of Electrical and Electronics Engineers.[go to publisher's site]
W. Josemans, G. Englebienne & B. Kröse (2013). Fusion of Color and Depth Camera Data for Robust Fall Detection. In S. Battiato & J. Braz (Eds.), VISAPP 2013: proceedings of the International Conference on Computer Vision Theory and Applications: Barcelona, Spain, 21-24 February, 2013. - Vol. 1 (pp. 608-613). SciTePress Science and Technology Publications.[go to publisher's site]

2012

S. Robben, G. Englebienne, M. Pol & B. Kröse (2012). How is grandma doing? Predicting functional health status from binary ambient sensor data. In D.J. Cook, N.C. Krishnan, P. Rashidi, M. Skubic & A. Mihailidis (Eds.), Artificial Intelligence for Gerontechnology: Papers from the AAAI Symposium AAAI Fall Symposium Series Technical Reports (pp. 26-31). Palo Alto, CA: AAAI.
V. John, G. Englebienne & B.J.A. Kröse (2012). Relative camera localisation in non-overlapping camera networks using multiple trajectories. In A. Fusiello, V. Murino & R. Cucchiara (Eds.), Computer Vision - ECCV 2012. Workshops and Demonstrations: Florence, Italy, October 7-13 2012, Proceedings, Part III Vol. 7585. Lecture Notes in Computer Science (pp. 141-150). Berlin: Springer.
G. Englebienne & H.S. Hung (2012). Mining for Motivation: Using a Single Wearable Accelerometer to Detect People s Interests. In Proceedings of the 2nd ACM international workshop on Interactive multimedia on mobile and portable devices (pp. 23-26).
J.F.P. Kooij, G. Englebienne & D.M. Gavrila (2012). A non-parametric hierarchical model to discover behavior dynamics from tracks. In A. Fitzgibbon, S. Lazebnik, P. Perona, Y. Sato & C. Schmid (Eds.), Computer Vision - ECCV 2012: 12th European Conference on Computer Vision, Florence, Italy, October 7-12, 2012, Proceedings, Part VI Vol. 7577. Lecture Notes in Computer Science (pp. 270-283). Berlin: Springer.
A. Noulas, G. Englebienne & B.J.A. Kröse (2012). Multimodal Speaker Diarization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34 (1), 79-93. doi: 10.1109/TPAMI.2011.47
A. Nait Aicha, G. Englebienne & B. Kröse (2012). How busy is my supervisor? Detecting the visits in the office of my supervisor using a sensor network. In Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments: PETRA 2012 (pp. 12). New York: ACM.
T. van Oosterhout, B. Kröse & G. Englebienne (2012). People counting with stereo cameras: two template-based solutions. In G. Csurka & J. Braz (Eds.), VISAPP 2012: proceedings of the International Conference on Computer Vision Theory and Applications. - Rome, Italy, 24-26 February, 2012. - Vol. 2 (pp. 404-408). SciTePress.
N. Hu, G. Englebienne & B.J.A. Kröse (2012). Bayesian fusion of ceiling mounted camera and laser range finder on a mobile robot for people detection and localization. In A.A. Salah, J. Ruiz-del-Solar, Ç Meriçli & P.-Y. Oudeyer (Eds.), Human Behavior Understanding: Third International Workshop, HBU 2012. Vilamoura, Portugal, October 7, 2012. Proceedings Vol. 7559. Lecture Notes in Computer Science (pp. 41-51). Berlin: Springer.

2011

N. Raiman, G. Englebienne & H. Hung (2011). Move, and I will tell you who you are: detecting deceptive roles in low-quality data. In ICMI'11: proceedings of the 2011 ACM International Conference on Multimodal Interaction: November 14-18, 2011, Alicante, Spain (pp. 201-204). New York: Association for Computing Machinery.
T.L.M. van Kasteren, G. Englebienne & B.J.A. Kröse (2011). Hierarchical activity recognition using automatic clustering of actions. In D.V. Keyson, M.L. Maher, N. Streitz, A. Cheok, J.C. Augusto, R. Wichert, G. Englebienne, H. Aghajan & B.J.A. Kröse (Eds.), Ambient intelligence: second international joint conference, AmI 2011, Amsterdam, the Netherlands, November 16-18, 2011: proceedings Vol. 7040. Lecture Notes in Computer Science (pp. 82-91). Heidelberg: Springer.
T.L.M. van Kasteren, G. Englebienne & B.J.A. Kröse (2011). Human activity recognition from wireless sensor network data: benchmark and software. In L. Chen, C. Nugent, J. Biswas & J. Hoey (Eds.), Activity recognition in pervasive intelligent environments (Atlantis ambient and pervasive intelligence, 4) (pp. 165-186). Atlantis Press.

2010

T.L.M. van Kasteren, G. Englebienne & B.J.A. Kröse (2010). Transferring knowledge of activity recognition across sensor networks. In P. Floréen, A. Krüger & M. Spasojevic (Eds.), Pervasive computing: 8th international conference, Pervasive 2010, Helsinki, Finland, May 17-20, 2010: proceedings Vol. 6030. Lecture Notes in Computer Science (pp. 283-300). Berlin: Springer.
S. Wang, G. Englebienne, C. Gueret, S. Schlobach, A. Isaac & M. Schut (2010). Similarity features, and their role in concept alignment learning. In M. Popescu & D.L. Stewart (Eds.), SEMAPRO 2010: the Fourth International Conference on Advances in Semantic Processing: October 25-30, 2010, Florence, Italy (pp. 1-6). IARIA.
T.L.M. van Kasteren, G. Englebienne & B.J.A. Kröse (2010). An activity monitoring system for elderly care using generative and discriminative models. Personal and ubiquitous computing, 14 (6), 489-498. doi: 10.1007/s00779-009-0277-9[go to publisher's site]
G. Englebienne & B.J.A. Kröse (2010). Fast Bayesian people detection. In Proceedings of the 22nd Benelux Conference on Artificial Intelligence (BNAIC 2010) Vol. 22. BNAIC.
T.L.M. van Kasteren, G. Englebienne & B.J.A. Kröse (2010). Recognizing Activities in Multiple Homes using Transfer Learning. In Proceedings of Advanced School of Computing & Imaging Conference (ASCI'09). Zeewolde, The Netherlands.
A. Noulas, G. Englebienne, B. Terwijn & B. Kröse (2010). Speaker detection for conversational robots using synchrony between audio and video. In M. Hanheide & H. Zender (Eds.), Proceedings of the ICRA 2010 Workshop on Interactive Communication for Autonomous Intelligent Robots (ICAIR): making robots articulate what they understand, intend, and do (pp. 11-16). Saarbrücken: German Research Center for Artificial Intelligence.
T.L.M. van Kasteren, G. Englebienne & B.J.A. Kröse (2010). Activity recognition using semi-Markov models on real world smart home datasets. Journal of ambient intelligence and smart environments, 2 (3), 311-325. doi: 10.3233/AIS-2010-0070[go to publisher's site]

2009

G. Englebienne, T. van Oosterhout & B. Kröse (2009). Tracking in sparse multi-camera setups using stereo vision. In 2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC 2009): Como, Italy, 30 August-2 September 2009 (pp. 1-6). Piscataway, NJ: IEEE.

2008

S. Wang, G. Englebienne & S. Schlobach (2008). Learning concept mappings from instance similarity. In A. Sheth, S. Staab, M. Dean, M. Paolucci, D. Maynard, T. Finin & K. Thirunarayan (Eds.), The Semantic Web - ISWC 2008: 7th International Semantic Web Conference, ISWC 2008, Karlsruhe, Germany, October 26-30, 2008: proceedings Vol. 5318. Lecture Notes in Computer Science (pp. 339-355). Berlin: Springer.
T.L.M. van Kasteren, G. Englebienne & B.J.A. Kröse (2008). Recognizing activities in multiple contexts using transfer learning. In M. Skubic (Ed.), AI in eldercare: new solutions to old problems: papers from the AAAI Fall Symposium Vol. FS-08-02. Technical Report (pp. 142-149). Menlo Park, Calif.: AAAI Press.
T. van Kasteren, A. Noulas, G. Englebienne & B. Kröse (2008). Accurate activity recognition in a home setting. In Proceedings of the 10th International Conference on Ubiquitous Computing: September 21-24, 2008, Seoul, Korea ACM International Conference Proceedings Series (pp. 1-9). New York, NY: Association for Computing Machinery (ACM).