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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Multiple Objects Tracking across Multiple Non-Overlapped Views
verfasst von : Ke-Yin Chen, Chung-Lin Huang, Shih-Chung Hsu, I-Cheng Chang
Erschienen in: Advances in Image and Video Technology
Verlag: Springer Berlin Heidelberg
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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.