Identification and Feature Extraction of Moving Vehicles in LabVIEW

Thota, Lalitha saroja and Changalasetty, Suresh and Badawy, Ahmed and Ghribi, Wade (2014) Identification and Feature Extraction of Moving Vehicles in LabVIEW. 3rd IEEE International Conference on Communications and Signal Processing (ICCSP 2014), India, 3 (5). pp. 861-865. ISSN 978-1-4799-3357-0


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Abstract|ملخص البحث

In recent years, video monitoring and surveillance systems have been widely used in traffic management. The image sequences for traffic scenes are recorded by a stationary camera. The video clip is sent to LabVIEW program to convert into image frames. NI LabVIEW vision assistant module is used to detect the moving vehicle. The method is based on the establishment of correspondences between regions and vehicles, as the vehicles move through the image sequence. Background subtraction is used which improves the adaptive background mixture model and makes the system learn faster and more accurately, as well as adapt effectively to changing environments. The resulting system robustly identifies vehicles, rejecting background and tracks vehicles over a specific period of time. Once the (object) vehicle is tracked, the attributes of the vehicle like width, length, perimeter, area etc are extracted by image process feature extraction techniques. In proposed system we use LabVIEW and Vision assistant module for image processing and feature extraction. The project will benefit to reduce cost of traffic monitoring system and complete automation of traffic monitoring system

Item Type|تصنيف النتاج العلمي: Article| منشور علمي
Subjects | مجال موضوع النشر: Computer Sciences
Divisions | الكلية: Female College of Sciences and Arts - Khamis Mushyait > Computer Sciences
Date Deposited: 12 Mar 2018 11:41
Last Modified: 12 Mar 2018 11:41

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