ABANDONED OBJECT DETECTION AND TRACKING INVIDEO SURVEILLANCE
| Author(s) | : | Miss. Mandakini A. Mahale, Mrs. H. H. Kulkarni |
| Institution | : | PG Student,G. E. S. R. H. Sapat College of Engineering. Department of Electronics and Telecommunication Savitribai phule pune university, Nashik, Maharashtra, (India) |
| Published In | : | Vol. 4, Issue 11 — November 2017 |
| Page No. | : | 1226-1232 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Abandoned Object detection is most critical task in visual surveillance system. Many Public or open areas arefacilitated with cameras at the multiple angles to monitor the security of that area for keeping citizens safe.This is knownas the surveillance system.Object detection and tracking are important and challenging tasks in many computer visionapplications such as surveillance, vehicle navigation and autonomous robot navigation etc. Different methods are usedto 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 theproposed method runs quickly, accurately and fits for the real-time detection.
Miss. Mandakini A. Mahale, Mrs. H. H. Kulkarni, “ABANDONED OBJECT DETECTION AND TRACKING INVIDEO SURVEILLANCE”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 11, pp. 1226-1232, November 2017.
