A Systematic Survey on Object Detection and Classification using Machine Learning Techniques
Abstract
In recent decades, object detection and classification systems gained considerable research interest due to the progression in computer vision technology. In addition, visual object detection and classification are important and useful to robotic based applications. Hence, the classification of an object and its background in a complex scene is a challenging task, particularly this concern is compounded under poor illumination conditions. Hence, there are several object recognition and classification systems are developed, still there is a constant demand for better object recognition and classification system. This article analysis the prior research works that carried out in object detection and classification and also examines the problems faced by the researchers in existing studies. Further, this article assists the researchers to achieve better solution in object recognition and classification application.