Volume 18, No. 6, 2021

under processing



Recently computer vision system based applications have grown rapidly. In the field of computer vision there are various application present which are used in real-world application scenarios such as medical imaging, security, visual surveillance etc. Among these application visual surveillance is also an important application. In order to obtain better surveillance system, object detection and recognition techniques need to be addressed. In this field, object recognition have gained lots of attraction for real time application various techniques have been proposed for object recognition. In this article we study about the stat-of-art techniques presented for object recognition. Later, a study is presented regarding learning based scheme for object detection system. Finally we have concluded that learning based approaches are robust to obtain the object detection but still the complexity remains a challenging issue for learning based schemes.

Pages: 8936-8968

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