A Novel Object Tracking Algorithm Based on Compressed Sensing and Entropy of Information
المؤلفون المشاركون
Ma, Ding
Yu, Zhezhou
Yu, JiKun
Pang, Wei
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-18، 18ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-06-22
دولة النشر
مصر
عدد الصفحات
18
التخصصات الرئيسية
الملخص EN
Object tracking has always been a hot research topic in the field of computer vision; its purpose is to track objects with specific characteristics or representation and estimate the information of objects such as their locations, sizes, and rotation angles in the current frame.
Object tracking in complex scenes will usually encounter various sorts of challenges, such as location change, dimension change, illumination change, perception change, and occlusion.
This paper proposed a novel object tracking algorithm based on compressed sensing and information entropy to address these challenges.
First, objects are characterized by the Haar (Haar-like) and ORB features.
Second, the dimensions of computation space of the Haar and ORB features are effectively reduced through compressed sensing.
Then the above-mentioned features are fused based on information entropy.
Finally, in the particle filter framework, an object location was obtained by selecting candidate object locations in the current frame from the local context neighboring the optimal locations in the last frame.
Our extensive experimental results demonstrated that this method was able to effectively address the challenges of perception change, illumination change, and large area occlusion, which made it achieve better performance than existing approaches such as MIL and CT.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ma, Ding& Yu, Zhezhou& Yu, JiKun& Pang, Wei. 2015. A Novel Object Tracking Algorithm Based on Compressed Sensing and Entropy of Information. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-18.
https://search.emarefa.net/detail/BIM-1074326
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ma, Ding…[et al.]. A Novel Object Tracking Algorithm Based on Compressed Sensing and Entropy of Information. Mathematical Problems in Engineering No. 2015 (2015), pp.1-18.
https://search.emarefa.net/detail/BIM-1074326
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ma, Ding& Yu, Zhezhou& Yu, JiKun& Pang, Wei. A Novel Object Tracking Algorithm Based on Compressed Sensing and Entropy of Information. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-18.
https://search.emarefa.net/detail/BIM-1074326
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1074326
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