Object recognition, detection and tracking in real time is a necessary task in computer vision. There are huge amount of research work have been done in this area. Yet it needs to be more accuracy in reorganization of object. The most objective of this review is to present an overview of the approaches used and also the challenges involved. In this paper we concentrate on different object detection methods, tracking and recognition methods are discuss. Recognition of objects in video can

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... cant benefits to information retrieval including automatic annotation and queries based and content base on the object characteristics. This paper presents the detection of specified object from the cluttered data in a live Image and video feed using Speed Up Robust Feature. We conclude the article with SURF's application to two challenging, yet converse goals: camera calibration as a special case of image registration, and object recognition.