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http://dx.doi.org/10.9717/kmms.2019.22.2.128

Deep Learning based Object Detector for Vehicle Recognition on Images Acquired with Fisheye Lens Cameras  

Hieu, Tang Quang (Department of Electrical Information Control Engineering, Hongik University)
Yeon, Sungho (Department of Electrical Information Control Engineering, Hongik University)
Kim, Jaemin (School of Electronic and Electrical Engineering, Hongik University)
Publication Information
Journal of Korea Multimedia Society / v.22, no.2, 2019 , pp. 128-135 More about this Journal
Abstract
This paper presents a deep learning-based object detection method for recognizing vehicles in images acquired through cameras installed on ceiling of underground parking lot. First, we present an image enhancement method, which improves vehicle detection performance under dark lighting environment. Second, we present a new CNN-based multiscale classifiers for detecting vehicles in images acquired through cameras with fisheye lens. Experiments show that the presented vehicle detector has better performance than the conventional ones.
Keywords
Deep Learning; Vehicle Detection; Fisheye Lens Cameras; Convolutional Neural Network;
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Times Cited By KSCI : 1  (Citation Analysis)
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