ABANDONED OBJECT DETECTION AND TRACKING INVIDEO SURVEILLANCE
Keywords:
video surveillance, abandoned object detection, Gaussian Mixture model (GMM), Blob Analysis, Kalman Filter (KF), object detection and tracking, Background subtraction.Abstract
Abandoned Object detection is most critical task in visual surveillance system. Many Public or open areas are
facilitated with cameras at the multiple angles to monitor the security of that area for keeping citizens safe.This is known
as the surveillance system.Object detection and tracking are important and challenging tasks in many computer vision
applications such as surveillance, vehicle navigation and autonomous robot navigation etc. Different methods are used
to detect and track object. In this method Gaussian Mixture Model (GMM) is used for object detection and Kalman Filter
(KF) for Object tracking. By using Background Subtraction to detect foreground object in an image taken from camera.
Morphological operation is use to filter out noise and remove imperfections.The experimental results show that the
proposed method runs quickly, accurately and fits for the real-time detection.
