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MATLAB PROJECTS FINAL YEAR PROJECTS IEEE PROJECTS 2013-2014 CONTACT: 9940098300, 9500075001 E-Mail:zebrosprojects@gmail.com
Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : zebrosprojects@gmail.com mob: 99400 98300,9500075001
ZEBROS PROJECTS Efficient Minimum Error Bounded Particle Resampling L1 Tracker With Occlusion Detection Abstract Recently, sparse representation has been applied to visual tracking to find the target with the minimum reconstruction error from a target template subspace. Though effective, these L1 trackers require high computational costs due to numerous calculations for l1 minimization. In addition, the inherent occlusion insensitivity of the l1 minimization has not been fully characterized. In this system, we propose an efficient L1 tracker, named bounded particle resampling (BPR)-L1 tracker, with a minimum error bound and occlusion detection. First, the minimum error bound is calculated from a linear least squares equation and serves as a guide for particle resampling in a particle filter (PF) framework. Most of the insignificant samples are removed before solving the computationally expensive l1 minimization in a two-step testing. The first step, named Ď„ testing, compares the sample observation likelihood to an ordered set of thresholds to remove insignificant samples without loss of resampling precision. The second step, named max testing, identifies the largest sample probability relative to the target to further remove insignificant samples without altering the tracking result of the current frame. Though sacrificing minimal precision during resampling, max testing achieves significant speed up on top of Ď„ testing. The BPR-L1 technique can also be beneficial to other trackers that have minimum error bounds in a PF framework, especially for trackers based on sparse representations. After the error-bound calculation, BPR-L1 performs occlusion detection by investigating the trivial coefficients in the l1 minimization. These coefficients, by design, contain rich information about image corruptions, including occlusion. Detected occlusions are then used to enhance the template updating. For evaluation, we conduct experiments on three video applications: biometrics (head movement, hand holding object, singers on stage), pedestrians (urban travel, hallway monitoring), and cars in traffic (wide area motion imagery, groundOffice Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : zebrosprojects@gmail.com mob: 99400 98300,9500075001
ZEBROS PROJECTS mounted perspectives). The proposed BPR-L1 method demonstrates an excellent performance as compared with nine state-of-the-art trackers on eleven challenging benchmark sequences. ZEBROS PROJECTS SOFTWARE BASED Networking
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What is IEEE? The Institute of Electrical and Electronics Engineers or IEEE (read eye-triple-e) is Incorporated in the State of New York, United States. It was formed in 1963 by the merger of the Institute of Radio Engineers (IRE, founded 1912) and the American Institute of Electrical Engineers (AIEE, founded 1884). A membership organization comprised of engineers, scientists and students that sets standards for computers and communications. It is a nonprofit organization with more than 365,000 members in around 150 countries. The IEEE describes itself as "the world's largest technical professional society -promoting the development and application of electro technology and allied sciences for the benefit of humanity, the advancement of the profession, and the well-being of our members."
Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : zebrosprojects@gmail.com mob: 99400 98300,9500075001
ZEBROS PROJECTS Why IEEE based projects?
It grantees for standard It assured latest solution for problems It delivers new patented technologies at an ever-increasing pace
It access world-class technical information provided by the IEEE and cut down your research time.
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Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : zebrosprojects@gmail.com mob: 99400 98300,9500075001
ZEBROS PROJECTS PROJECT SUPPORT 0th Review
Abstract Existing System Disadvantages Proposed System Advantages Objective System Requirements System Architecture 2nd Review
Use case Diagram Class Diagram Collaboration Diagram Sequence Diagram Activity Diagram Testing & test cases Partial Code Screenshot for First two module Review Document Explanation Final Review
1st Review
Literature Survey Module List Module Description Data Flow Diagram Level DFD Module Wise DFD Problem Definition Review Document Explanation 3rd Review
Conclusion References Future Enhancement 65% code (Executable Format) Required Software Review Document Explanation
Complete Code with Enhancement Final Document (University Standard Format) Complete Explanation for Project Concept & Code
Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : zebrosprojects@gmail.com mob: 99400 98300,9500075001