A Survey of Object Detection Methods

Object detection in images is a process whose goal is to determine the position of the objects in the image along with identifying them. Challenges, facing object detection, such as determination of the lighting, changing the perspective, image resizing, image extension, and rotating the original image, have led to miscellaneous methods. Geometrical methods deal with finding the primary lines, while the visual one aims at the way the pixels are connected. In each method, the discerning features among different image groups should be extracted. This paper reviews several object detection methods, including the intended-area identifying methods along with the area describing ones.

کلیدواژه ها:

image detection ، geometrical features ، feature extraction ، object detection