Detection of vehicular traffic using convolutional neural networks

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In present generation the detection of vehicle using aerial images plays an important role and mot challenging. The video understanding, border security are the applications of aerial images. To improve the performance of the system different detection methods are introduced. But these methods take more time in detection process. To overcome these convolutional neural network are introduced which will produce the successful design system. the main intent of this paper is to present the recognition system for aerial images using convolutional neural network. The proposed method improves the accuracy and speed after the detection process. At last aerial image is obtained by matching the image and textual description of classes.




Parachoori, S. K., Sujatha, K., Anand, M., Godhavari, T., & Jayalakshmi, S. (2019). Detection of vehicular traffic using convolutional neural networks. International Journal of Innovative Technology and Exploring Engineering, 8(10), 1423–1426.

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