projects
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projects [2011/09/02 21:47] – dymond | projects [2013/08/23 02:03] – pd | ||
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- | ====== | + | ====== |
- | (Listed in order received.) | + | |
- | ====== | + | Current proposed Projects, Fall 2013 |
+ | \\ | ||
+ | ====== | ||
- | **Supervisor**: | + | **Supervisor**: |
- | **Required Background**: | + | **Required Background**: |
+ | good math skills, knowledge of C and MATLAB programming languages | ||
- | **Recommended Background**: Robotics | + | One of the challenges in remote learning is to allow students to communicate effectively with the lecturer. |
+ | |||
+ | The goal of this project is to apply attentive sensing technology (www.elderlab.yorku.ca) to this problem. | ||
+ | |||
+ | In particular, working with a senior graduate student or postdoctoral fellow, the successful applicant will: | ||
+ | |||
+ | - Study the problem of detecting hand-raises in the preattentive sensor stream | ||
+ | - Implement algorithms for detecting hand-raises based upon this investigation | ||
+ | - Evaluate these algorithms in a real-classroom setting, using proprietary attentive sensing technology | ||
- | __Description__ | ||
- | An opportunity exists for a small number of students to build an autonomous motorboat using a RC motorboat as a base and integrating computation and control in the form of a Beagleboard. Students will participate in lectures and labs associated with CSE6324 (Part I). Interested students should attend the first lecture of CSE6324. See the departmental schedule for time and place. | ||
+ | ====== Attentive Sensing for Sport Video Recording Markets ====== | ||
+ | **Supervisor**: | ||
- | ---- | + | **Required Background**: Good programming skills; Good math skills; Knowledge of C and MATLAB programming languages |
- | : | + | |
- | ---- | + | |
- | ====== Athenians Data Project ====== | + | |
+ | The goal of this project is to modify York University’s patented attentive sensor technology to the sport video recording market. | ||
+ | |||
+ | The general problem is to use attentive sensing technology (www.elderlab.yorku.ca) to visually detect and track multiple moving agents (e.g., skiers, riders, horses) and to select specific agents for active high-resolution smooth pursuit. | ||
+ | |||
+ | The student will work with senior graduate students, postdoctoral fellows and research scientists to help modify the attentive sensing technology to operate in these domains. | ||
+ | |||
+ | 1. | ||
+ | 2. | ||
+ | 3. | ||
+ | |||
- | **Supervisor**: | + | |
+ | \\ | ||
+ | \\ | ||
+ | ------------------ | ||
+ | \\ | ||
+ | Additional current possible | ||
+ | \\ | ||
+ | ------------------ | ||
+ | \\ | ||
+ | \\ | ||
+ | =====Previous Projects from Summer 2013===== | ||
- | **Required Background**: | + | ======Tracking and Activity Recognition Through Consensus in Distributed Camera Networks====== |
- | **Recommended Background**: Data Mining | + | **Supervisor**: Amir Asif |
- | __Description__ | + | **Required Background: ** Computer Vision or Signal |
- | The Athenians Project is a multi-year, ongoing project of compiling, computerizing | + | |
- | Possible project ideas for this term span from simpler ones such as | + | |
- | how to present data in the best possible way, add spatial characteristics to existing data, | + | |
- | add multimedia data, improve text searching, etc. to more complex ideas such as filling | + | |
- | missing parts for the " | + | |
- | words has been done in the past using expert knowledge. Those experts have establish | + | |
- | certain rules/guidelines that may be possible to extrapolate in some kind of expert system | + | |
- | when talking in IT terminology. Furthermore, | + | |
- | the database with some likelihood. Associating probabilities with hypotheses introduces | + | |
- | another opportunity for research projects. | + | |
- | ---- | + | |
- | : | + | |
- | ---- | + | |
- | ====== Three-Dimensional Context from Linear Perspective | + | **Short Description: |
- | **Supervisor**: | ||
- | **Requirements**: | ||
- | __Description__ | + | [1] A. Mohammadi and A. Asif, Distributed Particle Filter Implementation with Intermittent/ |
- | To provide visual surveillance over a large environment, many surveillance cameras are typically deployed at widely dispersed locations. | + | [2] A. Mohammadi and A. Asif, Decentralized Sensor Selection based on the Distributed Posterior Cramer-Rao Lower Bound, in proceedings |
- | This problem can be addressed by automatically pre-mapping two-dimensional surveillance video data into three-dimensional coordinates. | + | ====== 3D Drawing System with Leap Motion finger tracker ====== |
- | Mapping surveillance video to three-dimensional coordinates requires construction of a virtual model of the three-dimensional scene. | + | **Supervisor**: |
- | This project will investigate a monocular method for inferring three-dimensional context for video surveillance. | + | **Required Background**: |
- | Although the Manhattan world assumption provides powerful constraints, there are many technical challenges | + | The Leap Motion, leapmotion.com, |
- | The student will work closely | + | ====== 3D Drawing System |
- | For more information on the laboratory: [[http:// | + | **Supervisor**: Wolfgang Stuerzlinger |
- | ---- | + | **Required Background**: 3D computer graphics, C/C++ coding |
- | : | + | |
- | ---- | + | |
- | ====== Estimating Pedestrian | + | The 3Gear system, threegear.com, |
- | **Supervisor**: | ||
- | **Requirements**: | ||
- | __Description__ | + | ====== Tilt Target Selection on Touchscreen Phones ====== |
- | Facilities planning at both city (e.g., Toronto) and institutional (e.g., York University) scales requires accurate data on the flow of people and vehicles throughout the environment. | + | **Supervisor**: |
- | The density of permanent urban video surveillance camera installations has increased dramatically over the last several years. These systems provide a potential source of low-cost data from which flows can be estimated | + | **Required Background**: |
- | This project will explore the use of computer vision algorithms for the automatic estimation | + | Touchscreen mobile devices commonly |
- | The student will work closely with graduate students and postdoctoral fellows at York University, as well as researchers at other institutions involved in the project. The student will develop skills in using MATLAB, a very useful mathematical programming environment, and develop an understanding | + | **Readings**: |
- | For more information on the laboratory: [[http:// | ||
- | |||
- | ---- | ||
- | : | ||
- | ---- | ||
- | ====== | + | ====== |
- | **Supervisor**: | + | **Supervisor**: |
- | **Required Background**: | + | **Required Background**: |
- | **Recommended Background**: | + | **Recommended Background**: |
- | __Description__ | + | Structural equation modeling (SEM) is a statistical technique that is becoming increasingly popular |
- | DNA sequences of organisms have many repeated substrings. These are called repeats | + | |
- | Finding tandem repeats | + | The software required |
- | The student | + | To date a promising functional application has been developed in JAVA by a Computer Science |
+ | More details {{: | ||
- | ---- | + | ====== Enabling SaaS access to an experimental AI planner ====== |
- | : | + | |
- | ---- | + | |
- | ====== Touch- and Gesture-based Text Entry With Automatic Error Correction ====== | + | **Supervisor**: |
- | **Supervisor**: Scott Mackenzie | + | **Required Background**: Good knowledge of Unix tools / Python, Perl or Awk. Comfort with algorithms and programming. Essential: 2031 -- Software Tools. Desired: |
+ | 3402 -- Functional & Logic Programming, | ||
+ | 3101 -- Design and Analysis of Algorithms, | ||
+ | 4302 -- Compilers and Interpreters. | ||
- | **Required Background**: | + | **Description**: This project involves enriching and integrating a set of fairly complex scripts, which are components of an Artificial Intelligence |
- | CSE3461 (or equivalent), CSE3311 | + | |
- | A student wishing to do this project must be well versed in Java, Eclipse, and developing java code for the Android operating system. | + | |
+ | The components are various Unix executables and LISP programs that need to interact in complex ways. The components may be residing in different servers in different universities. Currently integration is performed manually, at the expense of usability. Thus, we aim at constructing a module that: (a) integrates involved components to deliver output in one call, (b) exports a unique web interface (preferably following WSDL/SOAP) to be easily accessed by custom front-end tools by anyone, anywhere, (c ) offers a simple front-end for human users. | ||
- | **Recommended Background**: | + | Learning objectives: |
- | Possession | + | * Understand the technologies and process involved in turning native code into a web-service (" |
+ | * Study a state-of-the-art AI planner and understand its workings. | ||
+ | * Exercise scripting skills. | ||
- | __Description__ | ||
- | This project involves extending a touch-based text entry method to include automatic error correction. | ||
+ | ====== Predicting Angular Error in Rigid Registration ====== | ||
+ | **Supervisor**: | ||
+ | |||
+ | **Description**: | ||
+ | navigation. Several (seemingly) different approaches for predicting | ||
+ | distance errors in registration are known, but for some surgical | ||
+ | procedures, the angular error in registration is more important. | ||
+ | This project will validate an approach for predicting angular | ||
+ | error in registration; | ||
+ | simulated and actual registration data for testing purposes. | ||
+ | |||
+ | ====== Calibration of a Tracked Pointer ====== | ||
+ | |||
+ | **Supervisor**: | ||
+ | |||
+ | **Description**: | ||
+ | navigation systems. A typical pointer has a tracked target on one | ||
+ | end and a sharp or ball tip on the other end. Finding the location | ||
+ | of the tip relative to the target is a calibration problem. One | ||
+ | solution to the calibration problem involves pivoting the pointer | ||
+ | about the tip while tracking the target; if the tip is kept | ||
+ | stationary, then the target moves on the surface of a sphere. | ||
+ | Fitting the tracking data to the surface of a sphere yields the | ||
+ | location of the tip as the sphere center. Unfortunately, | ||
+ | calibrated tip position obtained using such a spherical calibration | ||
+ | has high variance. This project will investigate how much variance | ||
+ | there is in the calibrated tip position, and methods for reducing | ||
+ | the variance of the calibrated tip position. | ||
+ | |||
+ | |||
+ | ====== A privacy safeguard framework for sharing photos on Facebook ====== | ||
+ | |||
+ | **Supervisor**: | ||
+ | |||
- | ---- | + | **Description**: |
- | : | + | One of the major privacy concerns in Online Social Networks is photo sharing. |
- | ---- | + | |
+ | **Required prerequisite background**: | ||
+ | **Desired prerequisite**: |
projects.txt · Last modified: 2016/01/13 20:05 by stevenc