Narges Habibi’s Blog

Aerial photography is the taking of photographs from the air with a camera mounted, or hand held, on an aircraft, helicopter, balloon, rocket, kite, skydiver or similar vehicle.The use of aerial photography for military purposes was expanded during World War I.

According to photography place, different objects can be present in an aerial image. For example in an urban sense, there are roads, highways, buildings, humans, vehicles, etc.

Vehicle detection in aerial images, has several applications, for example traffic control, urban planning, approximating and simulating air pollution, data gathering for GIS, etc.

You can find a report on Vehicle Detection in aerial images, in Persian, here.

I’ve implemented a program in MATLAB to detect highways and vehicles in grayscale images. This program, has some constraints and assumptions, like any other machine vision system. It’s possible to improve it and add more features. You can find the project report, in Persian, here.
If you are interested in source codes, please contact me.

Machine Vision is concerned with computational understanding and use of the information present in visual images. In part, computer vision is analogous to the transformation of visual sensation into visual perception in biological vision. The goal of computer vision is primarily to enable engineering systems to model and manipulate the environment by using visual sensing.

MV is an interesting and practical field, but complicated.

For implementing MV algorithms, MATLAB is common. It has a rich Image Processing toolbox. Also, I’ve tried Java 2D API. It’s a little tricky, but ?

PS: In my opinion, the MV and Image Processing pages on wikipedia, aren’t good enough, of course as an exception.