![]() Identifying objects in satellite images. ![]() Object detection and recognition form the most important use case for computer vision, they are used to do powerful things such as And Raspberry Pi with OpenCV and attached camera can be used to create many real-time image processing applications like Face detection, face lock, object tracking, car number plate detection, Home security system etc. So it can be easily installed in Raspberry Pi with Python and Linux environment. We will also take a look at some common and popular object detection algorithms such as SIFT, SURF, FAST, BREIF & ORB.Īs told in the previous tutorials, OpenCV is Open Source Commuter Vision Library which has C++, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android. ![]() Features are the common attributes of the image such as corners, edges etc. We will find an object in an image and then we will describe its features. Here, in this section, we will perform some simple object detection techniques using template matching. We started with learning basics of OpenCV and then done some basic image processing and manipulations on images followed by Image segmentations and many other operations using OpenCV and python language.
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