Visual Targets Tracking based in Smart Cameras

MSc dissertation proposal 9275

 

Objectives:

 

Pan-tilt-zoom cameras are dynamic in the sense that they provide very high resolution at widely separated points of interest. Naturally, using deep zooming implies narrowing the field of view. However, one may reason that target tracking allows predicting motion, and prediction may save attention for detecting other targets. In other words, scheduling points of interest can be a mitigating factor, effectively allowing pan-tilt-zoom cameras to approximate omni-awareness.

 

Considering an urban environment observed by a number of pan-tilt-zoom cameras, the main objective consists in automating the cameras to work in a cooperative manner to track a number of targets (e.g. vehicles or people). This project is based in the research and development of two fundamental components: (i) pan-tilt-zoom camera modeling and (ii) developing an algorithm for assigning tasks to the cameras such that vision based multi-target tracking has optimal performance.

 

Requirements (grades, required courses, etc):

Interest in the problem of visual target tracking

 

Localization:

ISR / IST

 

Observations:

 

Previous works conducted at ISR/IST provide good starting points for the thesis. In particular a number of software prototypes already exist for target detection, tracking and camera scheduling.

 

More information:

http://users.isr.tecnico.ulisboa.pt/~jag/msc/msc_2017_2018.html