Efficient Interaction Recognition through Positive Action Representation
المؤلفون المشاركون
Hu, Tao
Zhu, Xinyan
Guo, Wei
Su, Kehua
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-12-22
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
This paper proposes a novel approach to decompose two-person interaction into a Positive Action and a Negative Action for more efficient behavior recognition.
A Positive Action plays the decisive role in a two-person exchange.
Thus, interaction recognition can be simplified to Positive Action-based recognition, focusing on an action representation of just one person.
Recently, a new depth sensor has become widely available, the Microsoft Kinect camera, which provides RGB-D data with 3D spatial information for quantitative analysis.
However, there are few publicly accessible test datasets using this camera, to assess two-person interaction recognition approaches.
Therefore, we created a new dataset with six types of complex human interactions (i.e., named K3HI), including kicking, pointing, punching, pushing, exchanging an object, and shaking hands.
Three types of features were extracted for each Positive Action: joint, plane, and velocity features.
We used continuous Hidden Markov Models (HMMs) to evaluate the Positive Action-based interaction recognition method and the traditional two-person interaction recognition approach with our test dataset.
Experimental results showed that the proposed recognition technique is more accurate than the traditional method, shortens the sample training time, and therefore achieves comprehensive superiority.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Hu, Tao& Zhu, Xinyan& Guo, Wei& Su, Kehua. 2013. Efficient Interaction Recognition through Positive Action Representation. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1010768
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Hu, Tao…[et al.]. Efficient Interaction Recognition through Positive Action Representation. Mathematical Problems in Engineering No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-1010768
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Hu, Tao& Zhu, Xinyan& Guo, Wei& Su, Kehua. Efficient Interaction Recognition through Positive Action Representation. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1010768
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1010768
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر