Vehicle Detection in Thermal Images Using Deep Neural Network 研究生: 張晉瑋 學號: M10515018 指導
碩士 === 國立臺灣科技大學 === 資訊工程系 === 106 === In today’s world, it becomes critical for a self-driving car to detect the vehicles irrespective of it being a day or night. During the night time, the RGB images captured by the cameras in the self-driving cars are not clear. Further, to overcome this issue, we...
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ndltd-TW-106NTUS53920412019-07-25T04:46:41Z http://ndltd.ncl.edu.tw/handle/n2uudh Vehicle Detection in Thermal Images Using Deep Neural Network 研究生: 張晉瑋 學號: M10515018 指導 基於深度神經網絡的熱影像行駛車輛檢測 Chin-Wei Chang 張晉瑋 碩士 國立臺灣科技大學 資訊工程系 106 In today’s world, it becomes critical for a self-driving car to detect the vehicles irrespective of it being a day or night. During the night time, the RGB images captured by the cameras in the self-driving cars are not clear. Further, to overcome this issue, we propose a real-time vehicle detection using a sequence of night-time thermal images. Moreover, the thermal images have the capability of retaining even the minuscule vehicle details in a dim environment. For an efficient vehicle detection, the thermal image dataset collected during the dusk and night is used for training purposes. Subsequently, the contrast enhancement and sharpening of these images are performed using the Thermal Feature Enhancement (TFE). Then the concatenated images are supplied as the input to allow the model to learn more effectively. Besides, we also propose an improved convolution network model entitled as the Thermal Image Only Looked Once (TOLO) model for vehicle detection. Additionally, juddering of the moving vehicle results in blurred images that are referred to as low probability candidates. Also, we propose a method called as Low Probability Candidate Filter (LPCF) to overcome this problem. Our proposed method produces better results for the F1-measure in comparison with existing methods. Kai-Lung Hua 花凱龍 2018 學位論文 ; thesis 41 en_US |
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碩士 === 國立臺灣科技大學 === 資訊工程系 === 106 === In today’s world, it becomes critical for a self-driving car to detect the vehicles irrespective
of it being a day or night. During the night time, the RGB images captured by the
cameras in the self-driving cars are not clear. Further, to overcome this issue, we propose
a real-time vehicle detection using a sequence of night-time thermal images. Moreover,
the thermal images have the capability of retaining even the minuscule vehicle details
in a dim environment. For an efficient vehicle detection, the thermal image dataset collected
during the dusk and night is used for training purposes. Subsequently, the contrast
enhancement and sharpening of these images are performed using the Thermal Feature
Enhancement (TFE). Then the concatenated images are supplied as the input to allow the
model to learn more effectively. Besides, we also propose an improved convolution network
model entitled as the Thermal Image Only Looked Once (TOLO) model for vehicle
detection. Additionally, juddering of the moving vehicle results in blurred images that are
referred to as low probability candidates. Also, we propose a method called as Low Probability
Candidate Filter (LPCF) to overcome this problem. Our proposed method produces
better results for the F1-measure in comparison with existing methods.
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author2 |
Kai-Lung Hua |
author_facet |
Kai-Lung Hua Chin-Wei Chang 張晉瑋 |
author |
Chin-Wei Chang 張晉瑋 |
spellingShingle |
Chin-Wei Chang 張晉瑋 Vehicle Detection in Thermal Images Using Deep Neural Network 研究生: 張晉瑋 學號: M10515018 指導 |
author_sort |
Chin-Wei Chang |
title |
Vehicle Detection in Thermal Images Using Deep Neural Network 研究生: 張晉瑋 學號: M10515018 指導 |
title_short |
Vehicle Detection in Thermal Images Using Deep Neural Network 研究生: 張晉瑋 學號: M10515018 指導 |
title_full |
Vehicle Detection in Thermal Images Using Deep Neural Network 研究生: 張晉瑋 學號: M10515018 指導 |
title_fullStr |
Vehicle Detection in Thermal Images Using Deep Neural Network 研究生: 張晉瑋 學號: M10515018 指導 |
title_full_unstemmed |
Vehicle Detection in Thermal Images Using Deep Neural Network 研究生: 張晉瑋 學號: M10515018 指導 |
title_sort |
vehicle detection in thermal images using deep neural network 研究生: 張晉瑋 學號: m10515018 指導 |
publishDate |
2018 |
url |
http://ndltd.ncl.edu.tw/handle/n2uudh |
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