Sensor Selection and Integration to Improve Video Segmentation in Complex Environments
المؤلفون المشاركون
Hsu, Wei-Wen
Huang, E-Wen
Chen, Chung-Hao
Ma, Gangfeng
Reckley, Adam R.
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-02-09
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
Background subtraction is often considered to be a required stage of any video surveillance system being used to detect objects in a single frame and/or track objects across multiple frames in a video sequence.
Most current state-of-the-art techniques for object detection and tracking utilize some form of background subtraction that involves developing a model of the background at a pixel, region, or frame level and designating any elements that deviate from the background model as foreground.
However, most existing approaches are capable of segmenting a number of distinct components but unable to distinguish between the desired object of interest and complex, dynamic background such as moving water and high reflections.
In this paper, we propose a technique to integrate spatiotemporal signatures of an object of interest from different sensing modalities into a video segmentation method in order to improve object detection and tracking in dynamic, complex scenes.
Our proposed algorithm utilizes the dynamic interaction information between the object of interest and background to differentiate between mistakenly segmented components and the desired component.
Experimental results on two complex data sets demonstrate that our proposed technique significantly improves the accuracy and utility of state-of-the-art video segmentation technique.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Reckley, Adam R.& Hsu, Wei-Wen& Chen, Chung-Hao& Ma, Gangfeng& Huang, E-Wen. 2014. Sensor Selection and Integration to Improve Video Segmentation in Complex Environments. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-488658
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Reckley, Adam R.…[et al.]. Sensor Selection and Integration to Improve Video Segmentation in Complex Environments. Mathematical Problems in Engineering No. 2014 (2014), pp.1-14.
https://search.emarefa.net/detail/BIM-488658
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Reckley, Adam R.& Hsu, Wei-Wen& Chen, Chung-Hao& Ma, Gangfeng& Huang, E-Wen. Sensor Selection and Integration to Improve Video Segmentation in Complex Environments. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-488658
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-488658
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