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Project 3 - Object Tracking Daniel Ponsa daniel@cvc.uab.es Project - PDF document

Project 3 - Object Tracking Daniel Ponsa daniel@cvc.uab.es Project 3: Goals Apply the theory given in the lectures in practice. Background Subtraction Optical Flow Computation Kalman Filter Identify the main problems


  1. Project 3 - Object Tracking Daniel Ponsa daniel@cvc.uab.es Project 3: Goals • Apply the theory given in the lectures in practice. • Background Subtraction • Optical Flow Computation • Kalman Filter • Identify the main problems of tested techniques. • Understand in which situations can be applied reliably. • Review additional literature, complementing the approaches explained in the lectures. 1

  2. Project 3: Work to be done • 3 Assignments • Implement and/ or check some matlab implementations of methods seen in the lectures. • 1 Presentation: Analysis and design of a tracking system • Propose a system well-suited to solve a given tracking application. • Given a sequence, check the literature to establish how you think it should be processed. • Groups of 2-3 students. • Project web page: http://www.cvc.uab.es/~daniel/master/ Project 3: Scheduling Review Assignment 1 Tue, Apr. 2th Review Assignment 2 Tue, Apr. 2th Review Assignment 3 Tue, Apr. 9th Report Presentation Thu, Apr. 11th • Some deliverables will have to be submitted before the review sessions and the report presentation. 2

  3. Project 3: Assignments • Assignment 1: Background Subtraction • Assignment 2: Optical Flow • Assignment 3: Kalman Filter • Sequences will be provided to test each technique. • A processing pipeline will be given, where you should partially implement some of the modules, and parameterise them properly. res_frame Preprocess Process Postprocess Visualizer frame pipeline • Progress slides should be submitted previous to the review session. • Groups should be prepared to present their results to the rest of the class. Project 3: Presentation (A&D Tracking System) • Groups should propose a reasonable approach to tackle a given tracking problem. • Some tracking applications will be proposed to work on them. • Groups are encouraged to make their own proposals. The problem proposed should require the use of theory/ methods not previously seen in the lectures. • Each group will work on a different tracking application. • The proposed solution should be the result of reviewing different alternatives in the literature. • No implementation is required, but it has its value. • Groups will present their proposal in an oral presentation. • A check list is provided to assist in preparing the presentation. 3

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