Real-Time Height Measurement for Moving Pedestrians
المؤلفون المشاركون
Wang, Haikuan
Zhou, Wenju
Feng, Wei
Yao, Fulong
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-08-27
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
Height measurement for moving pedestrians is quite significant in many scenarios, such as pedestrian positioning, criminal suspect tracking, and virtual reality.
Although some existing height measurement methods can detect the height of the static people, it is hard to measure height accurately for moving pedestrians.
Considering the height fluctuations in dynamic situation, this paper proposes a real-time height measurement based on the Time-of-Flight (TOF) camera.
Depth images in a continuous sequence are addressed to obtain the real-time height of the pedestrian with moving.
Firstly, a normalization equation is presented to convert the depth image into the grey image for a lower time cost and better performance.
Secondly, a difference-particle swarm optimization (D-PSO) algorithm is proposed to remove the complex background and reduce the noises.
Thirdly, a segmentation algorithm based on the maximally stable extremal regions (MSERs) is introduced to extract the pedestrian head region.
Then, a novel multilayer iterative average algorithm (MLIA) is developed for obtaining the height of dynamic pedestrians.
Finally, Kalman filtering is used to improve the measurement accuracy by combining the current measurement and the height at the last moment.
In addition, the VICON system is adopted as the ground truth to verify the proposed method, and the result shows that our method can accurately measure the real-time height of moving pedestrians.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhou, Wenju& Yao, Fulong& Feng, Wei& Wang, Haikuan. 2020. Real-Time Height Measurement for Moving Pedestrians. Complexity،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1142525
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhou, Wenju…[et al.]. Real-Time Height Measurement for Moving Pedestrians. Complexity No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1142525
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhou, Wenju& Yao, Fulong& Feng, Wei& Wang, Haikuan. Real-Time Height Measurement for Moving Pedestrians. Complexity. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1142525
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1142525
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