Abstract
In recent years there is rapid improvement in Object detection in areas of video analysis and image processing applications. Determing a desired object became an important aspect, so that there are many numerous of methods are evolved in Object detection. In this regard as there is rapid development in Deep Learning for its high-level processing, extracting deeper features, reliable and flexible compared to conventional techniques. In this article, the author proposes Object detection with deep neural networks and faster region convolutional neural networks methods for providing a simple algorithm which provides better accuracy and mean average precision.
Highlights
In present generations tracking an object playing an important role in video coding applications and to track any object the detection of an object is an important aspect for any moving or stationary conditions
In present generations Object Detection based on Deep Learning plays a vital role in which this method employs convolutional neural networks based on region classification knowns as Region Convolutional Neural Network (R-Convolutional Neural Networks (CNN))
This Faster R-CNN is an extension for region convolutional neural networks technique used for detecting desired objects and extracts features based on Deep Neural Network [1] (DNN) with Convolutional Neural Networks (CNN) [2]
Summary
In present generations tracking an object playing an important role in video coding applications and to track any object the detection of an object is an important aspect for any moving or stationary conditions. The main process of classification and localization are involved in Object Detection In this regard the Object Detection are divided into two approaches namely: Machine Learning method and Deep Learning method. In present generations Object Detection based on Deep Learning plays a vital role in which this method employs convolutional neural networks based on region classification knowns as Region Convolutional Neural Network (R-CNN). In this article the author proposes Faster R-CNN based on deep learning method for detecting desired object from a data set. This Faster R-CNN is an extension for region convolutional neural networks technique used for detecting desired objects and extracts features based on Deep Neural Network [1] (DNN) with Convolutional Neural Networks (CNN) [2].
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