Object Detection Using Haar Cascade

With the advent of computer Vision and Deep Learning, Object Detection has been a fundamental problem for researchers. It involves detecting a specific object in the image and identifying its position in the image. Haar Cascade is a conventional machine learning technique that uses low level feature to identify an object.

In the technique positive image (object to be to identified) is trained with negative images (images without that specific object). Once the Haar cascade is trained, these features can then identify that specific object in images.

In my project, I have used already trained Haar Cascade for detecting faces and another Haar cascade for detecting eyes in the imag. I experimented on live webcam and the results are pretty good.