Please use this identifier to cite or link to this item: http://oaps.umac.mo/handle/10692.1/89
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dc.contributor.authorZHOU, YINGSI (周穎思)-
dc.date.accessioned2016-03-04T04:13:17Z-
dc.date.available2016-03-04T04:13:17Z-
dc.date.issued2015-
dc.identifier.citationZHOU, Y. S. (2015). Comparison of Visual Tracking Algorithms and Realization of Online Tracking System (Outstanding Academic Papers by Students (OAPS)). Retrieved from University of Macau, Outstanding Academic Papers by Students Repository.en_US
dc.identifier.urihttp://hdl.handle.net/10692.1/89-
dc.description.abstractVisual tracking is one of the essential application in computer vision. Many visual tracking algorithms have been designed and realized in practical application. By employing these visual tracking algorithms, a lot of trackers can be used in target tracking in different conditions. In order to utilize these tracker more efficiently, we need to estimate the performance of them and apply them into proper environment respectively. Due to the various characteristics and principle of these algorithms, their performances in robustness evaluation should be analyzed specially for test sequences with different attributes. This project brief introduces and estimates the performance of the following nine trackers: CSK (Circulant Structure of Tracking-by-Detection with Kernels), CT(Real-time Compressive Tracking), CXT (Context Tracker), MTT (Multi-Task Sparse Learning), L1APG (L1 Tracker Using Accelerated Proximal Gradient Approach), DFT (Distribution Fields for Tracking), IVT (Incremental Learning for Robust Visual Tracking), SCM (Robust Object Tracking via Sparsity-based Collaborative Model), LOT(Locally Orderless Tracking) with categorizing them as generative or discriminative trackers. The robustness test includes one-pass evaluation (OPE), temporal robustness evaluation (TRE) and spatial robustness evaluation (SRE), which estimate the trackers’ performance comprehensively. The evaluation on tracking speed is also given, so as to apply the high speed trackers into online tracking system. Ultimately, an online tracking system is developed with three different trackers, to cater the need of internal and external tracking attributes.en_US
dc.language.isoenen_US
dc.titleComparison of Visual Tracking Algorithms and Realization of Online Tracking Systemen_US
dc.typeOAPSen_US
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.description.instructorProf. ZHU, JUNDAen_US
dc.contributor.facultyFaculty of Science and Technologyen_US
dc.description.programmeBachelor of Science in Electrical and Computer Engineeringen_US
Appears in Collections:FST OAPS 2015

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