Hi, I'm working on a novelty detection project (in Android) using background subtraction. I would like to do simple object detection after a novelty is detected (e.g. Person or Car). I have read some literature on how to do this using e.g. Bag Of Words + SVM, but I'm still not sure how to approach the task. Is using the Bag Of Words + SVM the best approach for multi-class classification? Essentially, after the foreground is detected through background subtraction, I would like to be able to draw a bounding box around it, specifying this is a car or a person. Also, I have searched online but I can't seem to find a source for the data sets I would need for the task.
Thanks very much for any help/suggestions.
