MOVING OBJECT DETECTION AND CLASSIFICATION IN SURVEILLANCE SYSTEMS USING MOVING CAMERAS

Year 2018, Volume: 60 Issue: 2, 63 - 82, 01.08.2018

Ozge Mercanoglu Sincan Hacer Yalim Keles Suleyman Tosun

Abstract

In this paper, we
present a novel method to detect and classify moving objects from surveillance
videos that are obtained from a moving camera. In our method, we first estimate
the camera motion by interpreting the movement of interest points in the scene.
Then, we eliminate the camera motion and find candidate regions that belong to
the moving objects. Considering these regions as priors, we apply an efficient
segmentation algorithm to obtain accurate object boundaries for the moving
objects. Finally, we classify the detected objects as people, vehicle, or
others using some morphological features and the velocity vectors of moving
objects. The evaluation of the proposed approach on our surveillance dataset
shows that our approach is very effective for determining the classes of moving
objects in a moving camera setting.

Keywords

Moving object detection, classification, moving camera

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