Vision- and Sensor-based Activity Analysis: Future Scopes
Vision- and sensor-based human activity recognition and analysis are very important research areas in computer vision, IoT sensor-based domain, and Human Robot/Machine/Computer Interaction. Over a decade, a good number of methodologies have been introduced to challenge and understand human activities and behavior for various applications. There are a number of challenges ahead and this talk will highlight those and introduce some methodologies and approaches for the future. The talk will be based on the three books on activity recognition:
“IoT Sensor-Based Activity Recognition – Human Activity Recognition”, Springer Nature Switzerland AG, 2019.
“Motion History Images for Action Recognition and Understanding,”, Springer, 2013.
“Computer Vision and Action Recognition: A Guide for Image Processing and Computer Vision Community for Action Understanding,”, Springer, 2011.
Md Atiqur Rahman Ahad, Senior Member, IEEE, is a Professor at University of Dhaka (DU); specially appointed Associate Professor at Osaka University. He works on computer vision, imaging, IoT, & healthcare. He did B.Sc.(Honors) [1st class 1st position] & Masters [1st class 2nd position] from DU; Masters from University of New South Wales; & PhD from Kyushu Institute of Technology [KIT]. He was awarded prestigious UGC Gold Medal 2016 (handed by Honorable President of Bangladesh), JSPS Postdoctoral Fellowship, & 20+ awards/scholarships in different conferences/etc. He was a Visiting Researcher at KIT. He has 3 books (available in Springer), 120+ journals/edited-books/conference papers. Ahad was invited as keynote/invited speakers ~60 times in different conferences/universities in Japan, BD, USA, India, Malaysia, & Indonesia. He is an Editorial Board Member, Scientific Reports, Nature; Associate Editor, Frontiers in ICT; Editorial Board Member, Encyclopedia of Computer Graphics and Games, Springer; Editor, Int. J. of Affective Computing; Assoc. Technical Editor (former), IEEE ComSoc Magazine; Editor-in-Chief: Int. J. of Computer Vision & Signal Processing http://cennser.org/IJCVSP, General Chair, 9th Int. Conf. on Informatics, Electronics & Vision http://cennser.org/ICIEV; 4th Int. Conf. on Imaging, Vision & Pattern Recognition http://cennser.org/IVPR; 2nd Int. Conf. on Activity & Behavior Computing (ABC) https://abc-research.github.io. More: http://ahadVisionLab.com.