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Detection of thrown objects in indoor and outdoor scenes

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5 Author(s)
Evan Ribnick ; AI, Robotics, and Vision Laboratory, University of Minnesota, USA ; Stefan Atev ; Nikos Papanikolopoulos ; Osama Masoud
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We present a novel technique for the detection of thrown objects and other free-flying bodies in video sequences. Our method runs in real-time and was designed to be used as a component in a deployed surveillance system. We detect regions of interesting motion that fit certain size, compactness and speed criteria, and use the expectation maximization algorithm to detect objects on parabolic trajectories over a short time window. The system was shown to successfully detect thrown objects of various sizes in a large test set of indoor and outdoor videos.

Published in:

2007 IEEE/RSJ International Conference on Intelligent Robots and Systems

Date of Conference:

Oct. 29 2007-Nov. 2 2007