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dc.contributor.author | Asif, Ali Reg # 6242 | |
dc.contributor.author | Ali, Raheem Reg # 6231 | |
dc.contributor.author | Ahmed, Syed Bilal REg # 6241 | |
dc.date.accessioned | 2018-09-04T04:57:09Z | |
dc.date.available | 2018-09-04T04:57:09Z | |
dc.date.issued | 2008 | |
dc.identifier.uri | http://hdl.handle.net/123456789/7408 | |
dc.description | Supervised by Aley Imran Rizvi | en_US |
dc.description.abstract | Image Processing is a vast field which found its applications in Biomedical, Defense, Industrial, and Security purposes etc. Object tracking uses image processing algorithms to detect a moving object and follow it. Object tracking is important because it enables several important applications such as: Security and surveillance - to recognize people, to provide better sense of security using visual information; Medical therapy - to improve the quality of life for physical therapy patients and disabled people; Retail space instrumentation - to analyze shopping behavior of customers, to enhance building and environment design; Video abstraction - to obtain automatic annotation of videos, to generate object-based summaries; Traffic management - to analyze flow, to detect accidents; Video editing - to eliminate cumbersome human-operator interaction, to design futuristic video effects; Interactive games . We have tried to design some efficient object tracking algorithms. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Bahria University Karachi Campus | en_US |
dc.relation.ispartofseries | BCE;MFN 01 | |
dc.title | OPTICAL TRACKING SYSTEM | en_US |
dc.type | Thesis | en_US |