REVIEW ON GENERIC OBJECT RECOGNITION TECHNIQUES: CHALLENGES AND OPPORTUNITIES

Recognizing objects automatically from an image is a fundamental step for many real-world computer vision applications. It is the task of identifying an instance of object in an image or video sequence without or least human intervention and assistance. In-spite of very high complexity, human beings perform this task with very less effort and even in the state of least attention. Little effort is needed for the humans to recognize huge number of and various categories of objects in images, though ‘object’ in the image may be different with respect to size / scale, viewpoint, position or orientation. We are even able to recognize the objects from an image, when they are only partially visible or present against cluttered background. Not only this, the recognition can be for specific instance of object or object category/class.