2016
DOI: 10.5815/ijigsp.2016.07.05
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Motion Segmentation from Surveillance Video using modified Hotelling's T-Square Statistics

Abstract: Motion segmentation is an important task in video surveillance and in many high-level vision applications. This paper proposes two generic methods for motion segmentation from surveillance video sequences captured from different kinds of sensors like aerial, Pan Tilt and Zoom (PTZ), thermal and night vision. Motion segmentation is achieved by employing Hotelling's T-Square test on the spatial neighborhood RGB color intensity values of each pixel in two successive temporal frames. Further, a modified version of… Show more

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