Multiple Objects Tracking across Multiple Non-Overlapped Views
| العنوان: | Multiple Objects Tracking across Multiple Non-Overlapped Views |
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| المؤلفون: | I-Cheng Chang, Chung-Lin Huang, Shih-Chung Hsu, Ke-Yin Chen |
| المصدر: | Advances in Image and Video Technology ISBN: 9783642253454 PSIVT (2) |
| بيانات النشر: | Springer Berlin Heidelberg, 2011. |
| سنة النشر: | 2011 |
| مصطلحات موضوعية: | Single view, Feature (computer vision), Computer science, business.industry, Track (disk drive), Video tracking, Path (graph theory), Computer vision, Function (mathematics), Artificial intelligence, Tracking (particle physics), Object (computer science), business |
| الوصف: | This paper introduces a tracking algorithm to track the multiple objects across multiple non-overlapped views. First, we track every single object in each single view and record its activity as the object-based video fragments (OVFs). By linking the related OVFs across different cameras, we may connect two OVFs across two non-overlapped views. Because of scene illumination change, blind region lingering, and objects similar appearance, we may have the problem of path misconnection and fragmentation. This paper develops the Error Path Detection Function (EPDF) and uses the augmented feature (AF) to solve those two problems. |
| ردمك: | 978-3-642-25345-4 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::8d48dba3c2a1c09c4a7f75be0e8b833f https://doi.org/10.1007/978-3-642-25346-1_12 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi...........8d48dba3c2a1c09c4a7f75be0e8b833f |
| قاعدة البيانات: | OpenAIRE |
| ردمك: | 9783642253454 |
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