Publikacje

Abstract:

In traditional monitoring systems video feeds from stationary cameras are
supervised only by a human operator, who may easily miss some events
recorded by a camera. Because it is imperative for surveillance system to
be reliable, its autonomy can be extended by applying computer vision
algorithms to a video signal and also by the use of mobile robots capable
of monitoring tight and occluded areas. In this paper we present an
overview of concept of the autonomous monitoring system based on object
shape detection. Our goal is to develop the real-time system which
robustly and efficiently identifies objects on the basis of their approximate
shape. For monitoring the environment we use active and smart cameras
capable of remote position control, as well as mobots equipped with video
sensors. After performing object extraction from individual video frames,
each new detected object is decomposed into simple graphical primitives
like lines, circles, rectangles etc. and then identified in a database using the
Query by Shape (QS) method.

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An autonomus monitoring system based on object shape detection