Technology is developing so rapidly at this
time. Every time various latest and cutting-edge
technologies in various fields transmit life. One of them
is in the field of object detection. As technology
develops, the need for object detection systems becomes
very strong. Object detection or object detection is the
lifeblood of Computer Vision and Image Processing.
There are 4 main focuses in Computer Vision, namely
Recognition, Visual Tracking (visual tracking),
Semantic Segmentation (semantic segmentation) and
Image Restoration (image restoration). To be able to do
these four things, we need an algorithm that can
effectively be applied to detect objects, especially
pedestrians, so YOLO was chosen as the answer. YOLO
is one of several algorithms that are often used in
Machine Learning. You Only Live Once or better
known as YOLO is a very well-known and widely used
algorithm. YOLO is a specific algorithm for object
detection. In recent years, the YOLO Algorithm has
shown interesting results in various areas of object
detection, both large-scale and special, has solved many
problems in the field of object detection in general, the
detection of license plates of vehicles, pedestrians, etc.
Through this systematic literature review, it is hoped
that it will be able to provide enlightenment for the
development of Object Detection science.
Keywords :
Object Detection; Image Processing; YOLO; Pedestrian; Machine Learning; Systematic Literature Review.