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Monday, May 9, 2011

Final Year Project Supervision

Smart Cameras for Human Detection and Tracking
  • Brief Description: The use of surveillance cameras has increased considerably in recent years. Since manual monitoring of surveillance scenes is labor intensive and not cost effective, the need of automatic processing of images has rapidly grown, and as a consequence, Smart Cameras with processing capabilities have started to appear in the market. The objective of this Project is to develop an algorithm and implement it in real-time using DSP, for the detection and tracking of people moving in a surveillance scene.
  • Level of Difficulty: High
  • Background: Digital Image Processing, DSP Programming
  • Number of Students: 2 (Hernán Haimovich and Luis Romero)
  • Year: 2001

DSP-based distorsion attenuation of audio systems
  • Brief Description: The objective of the project is the digital implementation of algorithms for the real-time compensation of the distorsion introduced by nonlinearities in electroacoustic transducers in audio systems.
  • Level of Difficulty: High
  • Background: System Identification, Digital Signal Processing, DSP Programming
  • Number of Students: 2 (Lisandro Boggio and Carlos Lana)
  • Year: 2001

Digital Programmable Hearing Aid
  • Brief Description: The objective of the project is to develop a prototype which is programmable digitally according to the patient's audiogram. The project will also involve the implementation of different compression and noise reduction algorithms to improve speech intelligibility in a noisy environment.
  • Level of Difficulty: High
  • Background: Digital Signal Processing, Acoustics, DSP Programming
  • Number of Students: 2 (Juan Schuman and Helio Hild)
  • Year: 2002

Iris Recognition System
  • Brief Description: The objective of the project is to develop a prototype of an Iris Recognition System based on a standard digital camera.
  • Level of Difficulty: High
  • Background: Digital Signal and Image Processing, Pattern Recognition.
  • Number of Students: 3 (Lucas Terissi, Lucas Cipollone and Patricio Baldino)
  • Year: 2005
  • N.B.: This Project was awarded the Best Student Paper Award at the XI Workshop on Signal Processing and Control (XI RPIC), Río Cuarto, Córdoba, Argentina, September 21-23, 2005.

Automatic Weld Defect Evaluation System
  • Brief Description: The objective of the project is to develop a software package for the automatic evaluation of weld defects from radiographic testing.
  • Level of Difficulty: High
  • Background: Digital Signal and Image Processing, Pattern Recognition.
  • Number of Students: 2 (Martín Angeleri and Marcelo Figoseco)
  • Year: 2007

Automatic Detection of the angle between vehicle and trailer based on computer vision
  • Level of Difficulty: High
  • Background: Digital Signal and Image Processing, Pattern Recognition.
  • Number of Students: 1 (Joaquin Gómez Prats)
  • Year: 2008

Real Time 3D Sound Synthesis on Headphones
  • Level of Difficulty: Very High
  • Background: Digital Signal and Image Processing, Pattern Recognition.
  • Number of Students: 1 (Mauro Hernán Riva)
  • Year: 2009
  • N.B.: This Project was awarded the Best Student Paper Award at the XIII Workshop on Signal Processing and Control (XIII RPIC), Rosario, Argentina, September 16-18, 2009.

Automatic Verification of Handwritten Signatures
  • Level of Difficulty: High
  • Background: Digital Signal and Image Processing, Pattern Recognition.
  • Number of Students: 1 (Marianela Parodi)
  • Year: 2009

Software for Analysis and Automatic Recognition of cardiac arrhythmias from Holter ambulatory electrocardiography
  • Level of Difficulty: High
  • Background: Digital Signal and Image Processing, Pattern Recognition.
  • Number of Students: 2 (Carlos Alcalá and Pablo Rullo)
  • Year: 2009

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