Speed Detection Camera System Using Image Processing Techniques On Video Streams

This paper talks about a new Speed Detection Camera System (SDCS) that can be used instead of radar. SDCS uses several image processing techniques on video streams that are either online (captured by a single camera) or offline. This lets SDCS figure out how fast moving objects are going without the problems that plague traditional radars. SDCS is a cheaper alternative to traditional radar that works just as well or better.

The SDCS process can be broken up into four steps. The first step is called the “Objects detection phase.” Which uses a hybrid algorithm that combines an adaptive background subtraction technique with a three-frame differencing algorithm to fix the main problem with using only adaptive background subtraction? The second step is “Tracking Objects,” which is made up of three steps: “Object Segmentation,” “Object Labeling,” and “Object Canter Extraction.”

Objects tracking operation takes into account the different ways an object could move, such as simple tracking, object has left the scene, object has entered the scene, object crosses another object, and object leaves and another one enters the scene. The third step is to figure out how fast the object is moving.

This is done by counting how many frames it takes for the object to pass by the scene. The last phase is called “Capturing Object’s Picture,” and it takes a picture of things that go too fast. SDCS has been used and tested in a number of experiments, and it has been shown to work well.