IMPROVED OBJECT DETECTION WITH NEURAL NETWORK

Computer Engineering

Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos.In Image Processing two methods are used CLAASIFICATION and DETECTION. CNN is a one type of Feature Extraction but it is used for detect multiple shape and object. CNN is used as a classification.In this paper we focuses on convolution neural networks and Deep Pyramid technique allowing further insights into their internal operation. After giving a brief introduction to neural networks and its layers, we review supervised training of neural networks in detail. The second section introduces the different types of layers present in recent convolutional neural networks. Based on these basic building blocks, we discuss the architecture of the convolutional neural network. In the third section we focuses on the deep pyramid technique. In Deep Pyramid, or pyramid representation, is a type of multi-scale signal representation developed by the computer vision, image processing and signal processing communities, in which a signal or an image is subject to repeated smoothing and sub sampling.

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