Pedestrian detection is one of the important fields of computer vision. Computer vision is getting more information from the digital images and videos and distinguishes between objects and classifies the object. Pedestrian detection is being applied in a wide range of applications such as video surveillance, automated driving, etc. This pedestrian detection has been a growing research area and then so many techniques have been used for detection. This paper focuses on various techniques applied to pedestrian detection and discusses the outcome of every technique and its accuracy and miss rate.