A survey on object recognition and segmentation techniques

Abstract

In this research paper we have analyzed the Object Recognition and Segmentation techniques in context with images and videos. Object Recognition can be used in various fields such as Robot navigation, Medical diagnosis, Security, Industrial inspection and automation, Human-computer interface, Information retrieval. Object segmentation is today used in diversified fields such as: image processing, video recognition, shadow detection, Human Activity Recognition and many more. This paper consists of systematic analysis of various existing object recognition and segmentation skills, with precise and arranged representation. While doing the research we have identified that recognizing and segmenting an object can be scrutinized from the perspective of static and moving objects. Most of the used techniques are base d on mathematical and algorithmic models. We wind up our results with the merits and demerits of existing methods and the liabilities of future scope in this area.