Transnational image object detection datasets from nighttime driving

Nie, Chang; Qadar, Muhammad Ali; Zhou, Shaodong; Zhang, Hui; Shi, Yang; Gao, Jinwu; Sun, Zhifeng

doi:10.1007/s11760-022-02319-8

Cited by 7 publications

(2 citation statements)

References 25 publications

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“…In a further in-depth discussion of the “object to be measured” purely based on the distance identification method, the method presented in [ 19 ] overcomes many challenges in complex lighting conditions, glare, light refraction, motion blur, and many other special problems. Ref.…”

Section: Introductionmentioning

confidence: 99%

“…Ref. [ 19 ] provides Faster R-CNN, Cascade R-CNN, RetinaNet, YOLO-V3, CornerNet, and FCOS for image learning and comparison. It is an excellent solution for situations with a large number of images and a large amount of deformation of the object to be measured, as well as a large amount of glare or other factors that interfere with the measurement in the experimental environment.…”

Section: Introductionmentioning

confidence: 99%

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Compensation for Vanadium Oxide Temperature with Stereo Vision on Long-Wave Infrared Light Measurement

Lin¹,

Yao²

2022

Sensors

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In this paper, using automated optical inspection equipment and a thermal imager, the position and the temperature of the heat source or measured object can effectively be grasped. The high-resolution depth camera is with the stereo vision distance measurement and the low-resolution thermal imager is with the long-wave infrared measurement. Based on Planck’s black body radiation law and Stefan–Boltzmann law, the binocular stereo calibration of the two cameras was calculated. In order to improve the measured temperature error at different distances, equipped with Intel Real Sense Depth Camera D435, a compensator is proposed to ensure that the measured temperature of the heat source is correct and accurate. From the results, it can be clearly seen that the actual measured temperature at each distance is proportional to the temperature of the thermal image vanadium oxide, while the actual measured temperature is inversely proportional to the distance of the test object. By the proposed compensation function, the compensation temperature at varying vanadium oxide temperatures can be obtained. The errors between the average temperature at each distance and the constant temperature of the test object at 39 °C are all less than 0.1%.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Compensation for Vanadium Oxide Temperature with Stereo Vision on Long-Wave Infrared Light Measurement

Lin¹,

Yao²

2022

Sensors

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Biometric watermarking schemes based on QR decomposition and Schur decomposition in the RIDWT domain

Altay,

Ulutas

2024

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AdSegNet: a deep network to localize billboard in outdoor scenes

Dhang,

Zhang,

Dev

2024

SIViP

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Over the past decade, there has been a remarkable expansion in the popularity of online videos, due to the variety of content that has become accessible on the internet. This expansion presents an opportunity for advertising and marketing agencies to take advantage of targeted advertisements. Targeted advertisements can be accomplished by replacing an existing advertisement within an image frame with a new one. There is a limited amount of research on the general task of localizing billboard or advertisement board in outdoor scenes. Therefore, in this study, we proposed a deep neural network that uses a fusion of VGG16 and SegNet architecture to accurately identify the location of an advertisement in an image frame. To evaluate the effectiveness of our proposed method, we compare our proposed method to other semantic segmentation algorithms using a publicly available dataset of outdoor scenes annotated with binary maps of billboards. Our experimental results show that the proposed method achieves 98.58% training accuracy for billboard localization, while testing results gave 96.43% testing accuracy. Additionally, the low RMSE score of our AdSegNet model suggests that it can accurately determine the four corners of the billboard. Therefore, our approach could be beneficial to advertising and marketing agencies that seek to utilize targeted advertisements

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Transnational image object detection datasets from nighttime driving

Cited by 7 publications

References 25 publications

Compensation for Vanadium Oxide Temperature with Stereo Vision on Long-Wave Infrared Light Measurement

Compensation for Vanadium Oxide Temperature with Stereo Vision on Long-Wave Infrared Light Measurement

Biometric watermarking schemes based on QR decomposition and Schur decomposition in the RIDWT domain

AdSegNet: a deep network to localize billboard in outdoor scenes

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