| Activity summarisation and fall detection in a supportive home environment H Nait-Charif, SJ McKenna Proceedings of the 17th International Conference on Pattern Recognition …, 2004 | 481 | 2004 |
| Activity recognition for indoor fall detection using convolutional neural network K Adhikari, H Bouchachia, H Nait-Charif 2017 Fifteenth IAPR International Conference on Machine Vision Applications …, 2017 | 154 | 2017 |
| Angelah: a framework for assisting elders at home T Taleb, D Bottazzi, M Guizani, H Nait-Charif IEEE Journal on Selected Areas in Communications 27 (4), 480-494, 2009 | 103 | 2009 |
| A learning algorithm for fault tolerant feedforward neural networks NC Hammadi, H Ito IEICE TRANSACTIONS on Information and Systems 80 (1), 21-27, 1997 | 82 | 1997 |
| Towards video understanding of laparoscopic surgery: Instrument tracking SJ McKenna, HN Charif, T Frank Proc. of Image and Vision Computing, New Zealand, 2005 | 65 | 2005 |
| Summarising contextual activity and detecting unusual inactivity in a supportive home environment SJ McKenna, HN Charif Pattern Analysis and Applications 7, 386-401, 2004 | 65 | 2004 |
| Tracking the activity of participants in a meeting HN Charif, SJ McKenna Machine Vision and Applications 17 (2), 83-93, 2006 | 64 | 2006 |
| Tracking human motion using auxiliary particle filters and iterated likelihood weighting SJ Mckenna, H Nait-Charif Image and Vision Computing 25 (6), 852-862, 2007 | 58 | 2007 |
| Head tracking and action recognition in a smart meeting room H Nait-Charif, SJ McKenna IEEE International Workshop on Performance Evaluation of Tracking and …, 2003 | 42 | 2003 |
| Learning spatial context from tracking using penalised likelihoods SJ McKenna, H Nait-Charif Proceedings of the 17th International Conference on Pattern Recognition …, 2004 | 35 | 2004 |
| Tracking poorly modelled motion using particle filters with iterated likelihood weighting H Nait-Charif, SJ McKenna Asian Conference on Computer Vision, Jeju Island, Korea, 2004 | 27 | 2004 |
| On the activation function and fault tolerance in feedforward neural networks NC Hammadi, H Ito IEICE TRANSACTIONS on Information and Systems 81 (1), 66-72, 1998 | 23 | 1998 |
| Deep learning based fall detection using simplified human posture K Adhikari, H Bouchachia, H Nait-Charif Int. J. Comput. Syst. Eng 13 (5), 255-260, 2019 | 22 | 2019 |
| Detecting indicators of cognitive impairment via Graph Convolutional Networks D Arifoglu, HN Charif, A Bouchachia Engineering Applications of Artificial Intelligence 89, 103401, 2020 | 20 | 2020 |
| Fault tolerant constructive algorithm for feedforward neural networks NC Hammadi, T Ohmameuda, K Kaneko, H Ito Proceedings Pacific Rim International Symposium on Fault-Tolerant Systems …, 1997 | 20 | 1997 |
| Automatic estimation of skeletal motion from optical motion capture data Z Xiao, H Nait-Charif, JJ Zhang Motion in Games: First International Workshop, MIG 2008, Utrecht, The …, 2008 | 17 | 2008 |
| Improving the performance of feedforward neural networks by noise injection into hidden neurons NC Hammadi, H Ito Journal of Intelligent and Robotic Systems 21, 103-115, 1998 | 17 | 1998 |
| Region-based Skin Color Detection. RPK Poudel, H Nait-Charif, JJ Zhang, D Liu VISAPP (1) VISAPP 2012-Proceedings of the International Conference on …, 2012 | 12 | 2012 |
| Dynamic constructive fault tolerant algorithm for feedforward neural networks NC Hammadi, T Ohmameuda, K Kaneko, H Ito IEICE TRANSACTIONS on Information and Systems 81 (1), 115-123, 1998 | 12 | 1998 |
| Skin color detection using region-based approach RPK Poudel, JJ Zhang, D Liu, H Nait-Charif Int. J. Image Process 7 (4), 385, 2013 | 10 | 2013 |
Stephen McKennaProfessor, University of Dundee在 computing.dundee.ac.uk 的电子邮件经过验证
