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2008
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Frame-skipping tracking for single object with global motion detection

10 years 6 months ago
Frame-skipping tracking for single object with global motion detection
Frame-skipping videos usually appear in wireless video sensor networks which have wirelessly interconnected devices that are able to ubiquitously retrieve video content from the environment. Frame-skipping videos bring to difficulties in getting the transition model (how objects move between frames). We propose a particle filter with global motion detection requiring no offline or online learning. Experimental results show the proposed approach improves the tracking accuracy in comparison with the existing conventional methods, under the condition of frame skipping data and motion of both targets and video sensors.
Ming Anlong, Ma Huadong
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICPR
Authors Ming Anlong, Ma Huadong
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