Tracking Algorithm of Multiple Pedestrians Based on Particle Filters in Video Sequences
المؤلفون المشاركون
Li, Hui
Wang, Chuanxu
Liu, Yun
Zhang, Shujun
Cui, Xuehong
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-17، 17ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-10-25
دولة النشر
مصر
عدد الصفحات
17
التخصصات الرئيسية
الملخص EN
Pedestrian tracking is a critical problem in the field of computer vision.
Particle filters have been proven to be very useful in pedestrian tracking for nonlinear and non-Gaussian estimation problems.
However, pedestrian tracking in complex environment is still facing many problems due to changes of pedestrian postures and scale, moving background, mutual occlusion, and presence of pedestrian.
To surmount these difficulties, this paper presents tracking algorithm of multiple pedestrians based on particle filters in video sequences.
The algorithm acquires confidence value of the object and the background through extracting a priori knowledge thus to achieve multipedestrian detection; it adopts color and texture features into particle filter to get better observation results and then automatically adjusts weight value of each feature according to current tracking environment.
During the process of tracking, the algorithm processes severe occlusion condition to prevent drift and loss phenomena caused by object occlusion and associates detection results with particle state to propose discriminated method for object disappearance and emergence thus to achieve robust tracking of multiple pedestrians.
Experimental verification and analysis in video sequences demonstrate that proposed algorithm improves the tracking performance and has better tracking results.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Li, Hui& Liu, Yun& Wang, Chuanxu& Zhang, Shujun& Cui, Xuehong. 2016. Tracking Algorithm of Multiple Pedestrians Based on Particle Filters in Video Sequences. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-17.
https://search.emarefa.net/detail/BIM-1099777
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Li, Hui…[et al.]. Tracking Algorithm of Multiple Pedestrians Based on Particle Filters in Video Sequences. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-17.
https://search.emarefa.net/detail/BIM-1099777
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Li, Hui& Liu, Yun& Wang, Chuanxu& Zhang, Shujun& Cui, Xuehong. Tracking Algorithm of Multiple Pedestrians Based on Particle Filters in Video Sequences. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-17.
https://search.emarefa.net/detail/BIM-1099777
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1099777
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