Review of Automatic Detection & Tracking of Abandoned Object
| Author(s) | : | Dhanashri Tambe, Prof. Raskar V.B |
| Institution | : | Department of Electronics & Telecommunication, JSPM'S Imperial College of Engineering & Research (Wagholi) |
| Published In | : | Vol. 4, Issue 5 — May 2017 |
| Page No. | : | 592-593 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
This paper presents a framework for detection of abandoned objects from various surveillance videos bymatching the reference frame with the next successive frames of the video sequence. The first frame of video isconsidered as reference frame & then by using background subtraction algorithm the foreground is separated from thebackground. Gaussian Mixture Model is used to detect static foreground regions. Features are extracted to classify theobject as human or non-human objects. SVM classifier is used to classify the object as human, bag, mobile phone or anyother object from extracted features. Proposed method can locate very small consistent items within the surveillancevideos
Dhanashri Tambe, Prof. Raskar V.B, “Review of Automatic Detection & Tracking of Abandoned Object”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 5, pp. 592-593, May 2017.
