NIST · ИТ · b37047177cf5e155f099
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 can be increased by tracking a set of ¿parts¿, provided that a suitable set can be identified. In this paper we propose a novel segmentation, specifically
NIST · ИТОфициальный источник · 2001-12-01
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"title_en": "Segmentation for Robust Tracking in the Presence of Severe Occlusion",
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"date": "2001-12-01",
"date_original": "December 1, 2001",
"url": "https://www.nist.gov/publications/segmentation-robust-tracking-presence-severe-occlusion-1",
"source": "NIST Publications",
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"authors_en": "Camillo 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 can be increased by tracking a set of ¿parts¿, provided that a suitable set can be identified. In this paper we propose a novel segmentation, specifically",
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"title_en": "Segmentation for Robust Tracking in the Presence of Severe Occlusion",
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"authors_en": "Camillo Gentile , M Sznaier, O Camps",
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