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Présentation Computational Intelligence For Human Action Recognition Format Relié
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Résumé : This book tends to involve major emerging trends in technology which support the current advancement of the human action recognition with the help of computational intelligence. It also aims to highlight advancement of the conventional approaches in the field of human action recognition.
Biographie: 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.
Sommaire: 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.
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