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Removing pedestrians from Google street view images [PDF]
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, 2010 Since the introduction of Google Street View, a part of Google Maps, vehicles equipped with roof-mounted mobile cameras have methodically captured street-level images of entire cities. The worldwide Street View coverage spans over 10 countries in four different continents. This service is freely available to anyone with an internet connection.
Arturo Flores, Serge J. Belongie
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LiDAR-assisted Large-scale Privacy Protection in Street-view Cycloramas [PDF]
, 2019 Recently, privacy has a growing importance in several domains, especially in street-view images. The conventional way to achieve this is to automatically detect and blur sensitive information from these images.
Bondarev, Egor +3 more
core +2 more sources
Quantifying the Spatial Ratio of Streets in Beijing Based on Street-View Images
ISPRS International Journal of Geo-Information, 2023 The physical presence of a street, called the “street view”, is a medium through which people perceive the urban form. A street’s spatial ratio is the main feature of the street view, and its measurement and quality are the core issues in the field of ...
Wei Gao +4 more
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ISPRS International Journal of Geo-Information, 2020 The common feature matching algorithms for street view images are sensitive to the illumination changes in augmented reality (AR), this may cause low accuracy of matching between street view images.
Zejun Xiang +5 more
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TRAFFIC SIGN INVENTORY FROM GOOGLE STREET VIEW IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Traffic sign detection and recognition (TSDR) has drawn considerable attention on developing intelligent transportation systems (ITS) and autonomous vehicle driving systems (AVDS) since 1980’s.
V. J. D. Tsai, J.-H. Chen, H.-S. Huang
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DAS: Efficient Street View Image Sampling for Urban Prediction
ACM Transactions on Intelligent Systems and Technology, 2023 Street view data is one of the most common data sources for urban prediction tasks, such as estimating socioeconomic status, sensing physical urban changes, and identifying urban villages. Typical research in this field consists of two steps: acquiring a dataset with a street view image sampling algorithm and designing a prediction algorithm for urban ...
Guozhen Zhang +4 more
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Street sweeper: detecting and removing cars in street view images [PDF]
Multimedia Tools and Applications, 2014 To protect privacy of individuals or companies that may be leaked in street view images, we present a system to automatically detect and remove cars as if they had never been there. Although street view service providers have made efforts on blurring human faces and license plates, we argue that remaining features, such as license numbers and phone ...
Wei-Ta Chu +2 more
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Enhancing Energy Minimization Framework for Scene Text Recognition with Top-Down Cues [PDF]
, 2016 Recognizing scene text is a challenging problem, even more so than the recognition of scanned documents. This problem has gained significant attention from the computer vision community in recent years, and several methods based on energy minimization ...
Alahari, Karteek +2 more
core +4 more sources
Enhancing Monocular Height Estimation from Aerial Images with Street-view Images
CoRR, 2023 Accurate height estimation from monocular aerial imagery presents a significant challenge due to its inherently ill-posed nature. This limitation is rooted in the absence of adequate geometric constraints available to the model when training with monocular imagery.
Xiaomou Hou, Wanshui Gan, Naoto Yokoya
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Remote Sensing, 2022 Extreme heat exposure has severe negative impacts on humans, and the issue is exacerbated by climate change. Estimating spatial heat stress such as mean radiant temperature (MRT) is currently difficult to apply at city scale.
Eun-Sub Kim +4 more
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