000			03004nas a2200409 a 4500
005			20260817161452.0
008			210308s2020 th a r m 000 eng d
035			_a.b12366134
099		9	_aAIT RSPR no.CS-20-01
100	1		_aTirumalasetty, Gayatri
245	1	0	_aAction recognition in generalized zero-shot learning setting using the conditional generative adversarial network
260			_aPathum Thani, Thailand : _bAsian Institute of Technology, _c2020
300			_a37 leaves : _bill.
490	1		_aResearch studies project report ; _vno.
500			_aA research study submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Computer Science, School of Engineering and Technology
502			_aResearch Studies Project Report (M. Eng.) - Asian Institute of Technology, 2020
520			_aHuman action recognition is an interesting area of research which has found applications in security surveillance systems, robotics, human-computer interaction and so on. Human actions can be classified into usual (mundane) events and unusual (peculiar) events. The traditional supervised learning models that discriminate between classes are helpful in clas sifying mundane actions of which the data is available during training. But in case of unusual events, we do not generally possess the example data during training. This now becomes a problem of zero-shot learning. In this study, I explore generative models to produce in stances of peculiar action events with the help of semantic meaning related to the action classes. The data from different places at AIT has been combined with benchmark UCF101 dataset to carry out the experiment. I have achieved an accuracy of 96.7% on the usual event classification and 60.94% on unusual event classification tasks during test time.
650		0	_aMachine learning
700	1		_aDailey, Mathew N., _eChairperson
700	1		_aPhan, Minh Dung, _eExamination Committee
700	0		_aChutiporn Anutariya, _eExamination Committee
710	2		_aAIT Fellowship, _eScholarship Donor
810	2		_aAsian Institute of Technology. _tResearch studies project report ; _vno.
856			_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B11696
907			_a.b12366134 _bmnait _cm
902			_a250428
998			_b0 _c210308 _dm _ea _fm _g0
945			_lmnarc
945			_lmnait
945			_lmnait
942			_c40
942			_c20
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