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Sequence MSA is a home-made indoor sequence manually labeled, consisting of 528 frames of 320*240 spatial resolution, acquired at a frequency of 30 fps. The scene consists of a university hall, where a man comes in, leaves a bag on the floor, and then comes out. It represents an example of easy sequence, in that lighting conditions are quite stable and moving objects are well contrasted with the background (there is no camouflage); however, strong shadows cast by moving objects can be observed in the entire sequence.">
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Sequence MSA is a home-made indoor sequence manually labeled, consisting of 528 frames of 320*240 spatial resolution, acquired at a frequency of 30 fps. The scene consists of a university hall, where a man comes in, leaves a bag on the floor, and then comes out. It represents an example of easy sequence, in that lighting conditions are quite stable and moving objects are well contrasted with the background (there is no camouflage); however, strong shadows cast by moving objects can be observed in the entire sequence."><meta property="og:image" content="/img/logo.png">
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<h1>Moving Object Detection Sequences</h1>
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<p><strong>Sequence MSA</strong></p>
<p>Sequence MSA is a home-made indoor sequence manually labeled, consisting of 528 frames of 320*240 spatial resolution, acquired at a frequency of 30 fps. The scene consists of a university hall, where a man comes in, leaves a bag on the floor, and then comes out. It represents an example of easy sequence, in that lighting conditions are quite stable and moving objects are well contrasted with the background (there is no camouflage); however, strong shadows cast by moving objects can be observed in the entire sequence.</p>
<p>Some snapshots:</p>
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<td><img src="/img/download.gif" alt="download"></td>
<td>Download the sequence <a href="/rar/MSA.rar">here</a> (27.2MB rar file containing 528 PPM images).</td>
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<td><img src="/img/download.gif" alt="download"></td>
<td>Download the Ground Truth <a href="/txt/GroundTruth.txt">here</a> (txt file containing, for each sequence frame, number of moving objects and their bounding box coordinates).</td>
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<p>\</p>
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<th>Please cite:</th>
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<td>L. Maddalena, A. Petrosino, <a href="https://link.springer.com/chapter/10.1007%2F978-3-540-87536-9_67">A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications</a>, <strong>IEEE Transactions on Image Processing</strong>, vol. 17, no. 7, 1168-1177, 2008.</td>
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