Computational Intelligence for Human Action Recognition (eBook, ePUB)

Redaktion: De, Sourav; Dutta, Paramartha

• Format: ePub

Produktbeschreibung

Human Action Recognition is a challenging area presently. The vigor of research effort directed towards this domain is self indicative of this. With the ever-increasing involvement of Computational Intelligence in our day to day applications, the necessity of human activity recognition has been able to make its presence felt to the concerned research community. The primary drive of such an effort is to equip the computing system capable of recognizing and interpreting human activities from posture, pose, gesture, facial expression etc. The intent of human activity recognition is a formidable component of cognitive science in which researchers are actively engaged of late.

Features:

• A systematic overview of the state-of-the-art in computational intelligence techniques for human action recognition.
• Emphasized on different intelligent techniques to recognize different human actions.
• Discussed about the automation techniques to handle human action recognition.
• Recent research results and some pointers to future advancements in this arena.

In the present endeavour the editors intend to come out with a compilation that reflects the concerns of relevant research community. The readers would be able to come across some of the latest findings of active researchers of the concerned field.

It is anticipated that this treatise shall be useful to the readership encompassing students at undergraduate and postgraduate level, researchers active as well as aspiring, not to speak of the senior researchers.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 146
• Erscheinungstermin: 27. September 2020
• Englisch
• ISBN-13: 9780429589997
• Artikelnr.: 60033774

Autorenporträt

Dr Sourav De has been as an Associate Professor in the Department of Computer Science and Engineering in Cooch Behar Government Engineering College, Cooch Behar since April 2016. His areas of interests are Soft Computing, Image Processing, Data Mining, Evolutionary Computation etc. Dr Sourav De has been as an Associate Professor in the Department of Computer Science and Engineering in Cooch Behar Government Engineering College, Cooch Behar since April 2016. His areas of interests are Soft Computing, Image Processing, Data Mining, Evolutionary Computation etc. Dr Paramartha Dutta is a Professor in Department of Computer & System Sciences in Visva-Bharati in West Bengal. His areas of interests are Soft Computing, Image Processing, Data Mining, Evolutionary Computation etc. He has coauthored eight books and has also eleven edited books with leading publishing houses such as Springer, Elsevier, John Wiley, Taylor and Francis, IGI Global etc. to his credit. He has published more than two hundred papers in various journals and conference proceedings, both international and national as well as several book chapters in edited volumes of reputed International publishing houses like Elsevier, Springer-Verlag, CRC Press, John Wiley, IGI Global to name a few. Dr. Dutta has guided seven scholars who already had been awarded their Ph. D. In addition, three of his scholars have submitted their Ph. D theses. Presently, he is supervising six scholars registered for their Ph. D program. Dr. Dutta is the coinventor of six published Indian Patents and one published International Patent.

Inhaltsangabe

Recent Advancements in Automatic Sign Language Recognition (SLR).
Distance-shape-texture signature trio for facial expression recognition.
Study and Analysis of Side Length Features of Triangles Induced by Landmark
Points for Recognition of Facial Expression. A Comprehensive study on the
influence of Angular Signature of landmark induced Triangulation in
recognizing changes in human emotion. An Behavioural Model for Persons with
Autism based on Relevant Case Studies.