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the topic of object detection will be covered in two parts in part 1 we will learn about specific object detection where you can tell if an object is detected or not and if detected you can find its location specifically we will look into how we can detect particular objects by using template matching extracting the histogram of gradient features using the Cascade object detector and using the training image labeler app to select the region of interest in training images lets begin by looking into template matching template matching matches an actual image patch against an input image by sliding the patch over the input image the location of the template match loc can be obtained by setting up the system object vision dot template matcher and then using the steps in tax here with the grayscale input image I gray and template t lets move to MATLAB and see how this works let us load a mat file bike template which contains the template image of a bike we can view it by using the imshow
