NIST · ИТ · 7dd14d8b7dd8112e153d
Segmentation for Robust Tracking in the Presence of Severe Occlusion
Tracking an object in a sequence of images can fail due to partial occlusion or clutter. Robustness to occlusion can be increased by tracking the object as a set of parts such that not all of these are occluded at the same time. However, successful
NIST · ИТОфициальный источник · 2004-02-18
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"title_en": "Segmentation for Robust Tracking in the Presence of Severe Occlusion",
"designation": "",
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"date": "2004-02-18",
"date_original": "February 18, 2004",
"url": "https://www.nist.gov/publications/segmentation-robust-tracking-presence-severe-occlusion-0",
"source": "NIST Publications",
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"authors_en": "Camillo A. Gentile , M Sznaier, O Camps",
"abstract_excerpt_en": "Tracking an object in a sequence of images can fail due to partial occlusion or clutter. Robustness to occlusion can be increased by tracking the object as a set of parts such that not all of these are occluded at the same time. However, successful",
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"title_en": "Segmentation for Robust Tracking in the Presence of Severe Occlusion",
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