Using 3D convolutional neural network in surveillance videos for recognizing human actions
المؤلفون المشاركون
Pushparaj, Sathyashrisharmilha
Arumugam, Sakthivel
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 15، العدد 4 (31 يوليو/تموز 2018)8ص.
الناشر
تاريخ النشر
2018-07-31
دولة النشر
الأردن
عدد الصفحات
8
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Human action recognition is a very important component of visual surveillance systems.
The demand for automatic surveillance systems play a crucial role in the circumstances where continuous patrolling by human guards are not possible.
The analysis in surveillance scenarios often requires the detection of certain specific human actions.
The automated recognition of human actions in detecting certain human actions are considered here.
The main aim is to develop a novel 3D CNN model for human action recognition in realistic environment.
The features are extracted from both the spatial and the temporal dimensions by performing 3D convolutions, by which, capturing the motion information encoded in multiple adjacent frames.
The evolved model generates multiple information from the input frames, and the information from all the channels are combined and that is to be the final feature.
The developed model automatically tend to recognize specific human actions which needs attention in the real world environment like in pathways or in corridors of any organization.
This proposed work is well suitable for the situations like where continuous patrolling of humans are not possible, to prevent certain human actions which are not allowed inside the organisation premises.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Pushparaj, Sathyashrisharmilha& Arumugam, Sakthivel. 2018. Using 3D convolutional neural network in surveillance videos for recognizing human actions. The International Arab Journal of Information Technology،Vol. 15, no. 4.
https://search.emarefa.net/detail/BIM-839035
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Pushparaj, Sathyashrisharmilha& Arumugam, Sakthivel. Using 3D convolutional neural network in surveillance videos for recognizing human actions. The International Arab Journal of Information Technology Vol. 15, no. 4 (Jul. 2018).
https://search.emarefa.net/detail/BIM-839035
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Pushparaj, Sathyashrisharmilha& Arumugam, Sakthivel. Using 3D convolutional neural network in surveillance videos for recognizing human actions. The International Arab Journal of Information Technology. 2018. Vol. 15, no. 4.
https://search.emarefa.net/detail/BIM-839035
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 7
رقم السجل
BIM-839035
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