Browsing by Author "Akshatha, K R"

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    A Novel Method of Detecting and Tracking of Moving objects for Video Surveillance System
    (2017-08-18T10:20:42Z) Akshatha, K R; Chinmayi, K A; Harshitha M
    Automated surveillance systems are of critical importance for the field of security. The task of reliably detecting and tracking moving objects in surveillance video, which forms a basis for higher level intelligence applications. Computer Vision is the part of “Artificial Intelligence” concerned with the theory behind artificial systems that extract information from images. Within which, Video Surveillance is a term given to monitor the behavior of any kind through videos. It requires person to monitor the CCTV and huge volume of memory to record it. One of the major challenges involved is the huge volume of video storage and retrieval of the same on demand. In order to avoid the depletion of human resources and to detect the suspicious behaviors that threaten safety and security, Intelligent Video Surveillance system (IVS) is required. The proposed work is focused on bringing effective and efficient video surveillance system with added intelligence to avoid human intervention in identifying security threats. The detection of moving object is one of the major steps in computer vision. We proposed a system with Gaussian Mixture Model (GMM) which is established on Background Subtraction and Morphological Filtering to enhance the image. Kalman Filter algorithm is used to track the moving objects. So, the proposed work is suitable for real time surveillance in detecting and tracking of moving objects.