Abandoned Object Detection on Controlled Scenes Using Kinect
نویسندگان
چکیده
This paper presents a new approach for the detection of abandoned objects in partially controlled environments using images from a low cost depth sensor. To reach this goal, we propose a systems which involves: (i) a two phase object segmentation based on 3D points clustering, (ii) an object selection based on permanence and object dimensions and, finally, (iii) a state machine monitoring capable to deal with occlusions. The proposed system exclusively considers depth images, which makes it independent of lighting. In order to obtain evidences of the system performance in real conditions, we have conducted an experimental study on video sequences captured into a public bus, obtaining successful results.
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