Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Mirza Waqar Baig"'
Autor:
Shaveta Gupta, Dinesh Grover, Ahmad Ali AlZubi, Nimit Sachdeva, Mirza Waqar Baig, Jimmy Singla
Publikováno v:
Computers, Materials & Continua. 72:2665-2682
Publikováno v:
Wireless Communications and Mobile Computing, Vol 2021 (2021)
Deep learning-based methodologies are significant to perform sentiment analysis on social media data. The valuable insights of social media data through sentiment analysis can be employed to develop intelligent applications. Among many networks, conv
Publikováno v:
Journal of the Korean Physical Society. 53:2129-2137
Autor:
Mirza Waqar Baig, Emilia I. Barakova, Mirza Sulman Baig, Vahid Bastani, Carlo S. Regazzoni, Matthias Rauterberg, Lucio Marcenaro
Publikováno v:
DSP
2015 IEEE International Conference on Digital Signal Processing, DSP 2015, 21-24 July 2015, Singapore, 703-707
STARTPAGE=703;ENDPAGE=707;TITLE=2015 IEEE International Conference on Digital Signal Processing, DSP 2015, 21-24 July 2015, Singapore
2015 IEEE International Conference on Digital Signal Processing, DSP 2015, 21-24 July 2015, Singapore, 703-707
STARTPAGE=703;ENDPAGE=707;TITLE=2015 IEEE International Conference on Digital Signal Processing, DSP 2015, 21-24 July 2015, Singapore
Perceiving crowd emotions and understand the situation is vital to control the situations in surveillance applications. This paper introduces the evolution of methods for crowd emotion perception based on bio-inspired probabilistic models. The emotio
Autor:
Emilia I. Barakova, Mirza Waqar Baig, Lucio Marcenaro, Matthias Rauterberg, Carlo S. Regazzoni
Publikováno v:
Proceedings International Joint Conference on Neural Networks (IJCNN), 6-11 July, 2014, Beijing, China, 3966-3973
STARTPAGE=3966;ENDPAGE=3973;TITLE=Proceedings International Joint Conference on Neural Networks (IJCNN), 6-11 July, 2014, Beijing, China
IJCNN
STARTPAGE=3966;ENDPAGE=3973;TITLE=Proceedings International Joint Conference on Neural Networks (IJCNN), 6-11 July, 2014, Beijing, China
IJCNN
Detection of emotions of a crowd is a new research area, which has never, to our knowledge, been accounted for research in previous literature. A bio-inspired model for representation of emotional patterns in crowds has been demonstrated. Emotions ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f240dc1ab2d46223fbf6098c667b6ca9
https://hdl.handle.net/11567/811629
https://hdl.handle.net/11567/811629
Publikováno v:
Proceedings 5th International Conference on Intelligent Systems, Modelling and Simulation (ISMS2014), 27-29 Januari 2014, Langkawi, Malaysia, 507-512
STARTPAGE=507;ENDPAGE=512;TITLE=Proceedings 5th International Conference on Intelligent Systems, Modelling and Simulation (ISMS2014), 27-29 Januari 2014, Langkawi, Malaysia
STARTPAGE=507;ENDPAGE=512;TITLE=Proceedings 5th International Conference on Intelligent Systems, Modelling and Simulation (ISMS2014), 27-29 Januari 2014, Langkawi, Malaysia
Simulation of crowd behaviors is a widely discussed topic for over a decade for computer games, architecture and entertainment. The most important thing is that agents should execute the human like behaviors in real life scenarios. This situation bec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d8452ad8c0546a8e68506d6760f3db4
https://research.tue.nl/nl/publications/4fa9f16e-1884-47fc-89a1-9432e8f75fe6
https://research.tue.nl/nl/publications/4fa9f16e-1884-47fc-89a1-9432e8f75fe6
Publikováno v:
2011 IEEE 54th International Midwest Symposium on Circuits and Systems (MWSCAS).
Scale Invariant Feature Transform (SIFT) is widely used in vision systems for various applications such as object detection and face recognition. In SIFT, threshold is applied to determine local extrema (keypoint selection) and global extrema (keypoi
Publikováno v:
2011 IEEE 54th International Midwest Symposium on Circuits and Systems (MWSCAS).
Hand gestures can be used for natural and intuitive human-computer interaction. Our new method combines existing techniques of skin color based ROI segmentation and Viola-Jones Haar-like feature based object detection, to optimize hand gesture recogn
Publikováno v:
Convergence and Hybrid Information Technology ISBN: 9783642240812
ICHIT (1)
ICHIT (1)
This paper presents a new novel approach for automatic vehicle detection from a live video based on texture Gabor features. Vehicle detection is a pivotal part in collision avoidance systems, blind-spot monitoring, and self-guided vehicles. This syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d244fd89ca982882cfb5446d146f618a
https://doi.org/10.1007/978-3-642-24082-9_69
https://doi.org/10.1007/978-3-642-24082-9_69
Publikováno v:
2010 International SoC Design Conference.
3D scene rendering requires depth maps and color information to produce high quality 3D results. Unfortunately, depth maps captured with the Time-of-flight (TOF) cameras have limited resolution and poor image quality, being severely influenced by the