Object detection using Haar-cascade Classifier

Object detection is an important feature of computer science. The benefits of object detection is however not limited to someone with a doctorate of informatics. Instead, object detection is growing deeper and deeper into the common parts of the information society, lending a helping hand wherever needed. This paper will address one such possibility, namely the help of a Haar-cascade classifier. The main focus will be on the case study of a vehicle detection and counting system and the possibilities it will provide in a semi-enclosed area both the statistical kind and also for the common man. The goal of the system to be developed is to further ease and augment the everyday part of our lives.