Moving / Static classification via tracking
Computer Vision


Project Description:

Aerial imagery is of a great interest on both civil and military applications. In this project we are given a set of aerial images along with many tracks of the objects. The goal is to distinguish with maximal confidence between the tracks that belong to static (background) and to moving objects. The way is to model the movement of the background and the filter the tracks that contradict the model.

Project Goal:

In this project we will develop an algorithm.

Project Details:
  1. Supervisor:
    Dmitry Rudoy

  2. Field:
    Computer Vision
  3. Requirements:
    Introduction to Digital Signal Processing (044198)
  4. Project status:
    Taken by the students Ran Weiss and Anton Algin
  5. Visit:
    Project web site
New Projects Current Projects Archive Projects
CG&M Lab    Contact Us EE Labs ECE Department Technion