Literature Review

Object detection is a well know computer technology linked with computer vision and image processing which focuses in digital images and videos on the detection of objects or instances of a certain class (for example, color). There are several applications for object detection, including face detection, the identification of nature and the automobile calculator, that have been well researched. The detection of objects can be used for various purposes, including retrieval and surveillance. Introducing vision to the robots is considered a primary cue because of the information it can provide. Robots with vision applications are successfully achieving the tasks (e.g. obstacle avoidance for navigation human recognition for Human-Robot Interaction activity recognition for cooperative behavior and object identification for manipulation to name only a few). However, despite significant achievements, the problem of detecting and recognizing objects efficiently and accurately remains a scientific challenge when real scenes are considered. A 10-15 page literature review should be done using scholarly articles about object detection and tracking using traditional computer image processing techniques (No artificial intelligence or deep learning methods). All articles must be cited and referenced using the Chicago manual of style 16th edition.