Hello, all! I hope you got excited by the title itself. What if I tell you that building a face recognition system is not so difficult? Yes, it is, and of course very exciting. Let’s build a complete face recognition system which enables you to enroll a new candidate into the system and perform recognition with higher accuracy!
Creating a custom object detector was a challenge, but not now. There are many approaches for handling object detection. Of all, Haarcascades and HOG+SVM are very popular and best known for their performance. Though Haarcascades which were introduced by Viola and Jones are good in achieving decent accuracy, HOG+SVM proved to outperform the Haarcascades implementation. Here in this post we are going to build a object detector using HOG+SVM model. The output from our detector is something similar as shown below.
Object Tracking has been a challenging problem in the field of computer vision and lots of new techniques are being invented. In this post we build an end-to-end object tracker using two simple techniques to track an object in a video stream. The outcome of the project might looks like as shown below.
Hello all !!
Long back when I was in my initial stage of learning computer vision, my friend asked me what are you always doing with your laptop? I answered Computer Vision. He then asked me what’s the big deal about it, so I explained. He then challenged me counting number of bricks in an image.
Challenge accepted !! Continue reading