Recognition of Human Activities Using Clustering Analysis
نویسندگان
چکیده
منابع مشابه
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در این پایان نامه نشان داده ایم که چگونه می توان مدل ریسک بیمه ای اسپیرر اندرسون را به کمک زنجیره های مارکوف تعریف کرد. سپس به کمک روش های آنالیز ماتریسی احتمال برشکستگی ، میزان مازاد در هنگام برشکستگی و میزان کسری بودجه در زمان وقوع برشکستگی را محاسبه کرده ایم. هدف ما در این پایان نامه بسیار محاسباتی و کاربردی تر از روش های است که در گذشته برای محاسبه این احتمال ارائه شده است. در ابتدا ما نشا...
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Motion is an important cue for the human visual system. The computer vision driven research in motion has gradually progressed over the past thirty years from the study of motion of rigid objects like boxes to more flexible objects like the human body. The developments in cameras, computers and memory have contributed in part to this maturing of computer vision. Systems that are able to detect ...
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1 Department of Electrical, Electronic and Computer Engineering, Faculty of Engineering, Technical University of Cluj-Napoca, North University Center of Baia Mare, Dr. V. Babes Street, No. 62A, ZIP 430083, Baia Mare, Romania, [email protected] 2 Department of Informatics Systems and Networks, Faculty of Informatics, University of Debrecen, Egyetem ter, 1., 4032, Debrecen, Hungary, su...
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Human activity recognition has been a major goal of research in the field of human computer interaction. This paper proposes a method which employs a hierarchical structure of Hidden Markov Models (Layered HMMs) in an attempt to exploit inherent characteristics of human action for more efficient recognition. The case study concerns actions of the arms of a seated subject and depends on the assu...
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Even great efforts have been made for decades, the recognition of human activities is still an unmature technology that attracted plenty of people in computer vision. In this paper, a system framework is presented to recognize multiple kinds of activities from videos by an SVMmulti-class classifier with a binary tree architecture. The framework is composed of three functionally cascaded modules...
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ژورنال
عنوان ژورنال: IEEJ Transactions on Sensors and Micromachines
سال: 2002
ISSN: 1341-8939,1347-5525
DOI: 10.1541/ieejsmas.122.452