Automatic Detection, Extraction and Recognition of Moving Objects
Adnan Khashman · 2008
The security of restricted areas such as borders or buffer zones is of utmost importance; in particular with the worldwide increase of military conflicts, illegal immigrants, and terrorism over the past decade. Monitoring such areas rely currently on technology and man power, however automatic monitoring has been advancing in order to avoid potential human errors that can be caused by different reasons. This paper introduces an automatic moving object detection, extraction and recognition system (aMODERs), which uses image processing to detect and extract moving objects within a restricted area, and a neural network to recognize the extracted object. The proposed system monitors movement by humans, animals or vehicles across a secured zone. Experimental results indicate that (aMODERs) provides a simple, efficient and fast solution to the problem of detecting, extracting and recognizing moving objects within one system.