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Exploring Traffic Features on Google Street View Images

Proceedings of the 2017 International Conference on Wireless Communications, Networking and Applications, 2017
Unlikely to the in-vehicle traffic sign detection systems, this research aims on developing techniques for detecting and extracting of traffic features from Google Street View (GSV) images along user-selected routes for low-cost, volumetric and quick establishment of the traffic infrastructural database.
Victor J. D. Tsai   +4 more
openaire   +1 more source

Sign text detection in street view images using an integrated feature

Multimedia Tools and Applications, 2018
Based on Bag of Visual Words (BoVWs) model, this paper proposes a novel method using an integrated feature to detect sign text in the street view images. BRISK features are first extracted from the street view images for dictionary learning. The Self-Growing and Self-Organized Neural Gas (SGONG) network is then used to cluster adaptively the extracted ...
Fan Zhao 0001   +4 more
openaire   +1 more source

Removal of Moving Objects from a Street-View Image by Fusing Multiple Image Sequences

2010 20th International Conference on Pattern Recognition, 2010
We propose a method to remove moving objects from an in-vehicle camera image sequence by fusing multiple image sequences. Driver assistance systems and services such as Google Street View require images containing no moving object. The proposed scheme consists of three parts: (i) collection of many image sequences along the same route by using vehicles
Hiroyuki Uchiyama   +4 more
openaire   +1 more source

Quantifying Urban Safety Perception on Street View Images

IEEE/WIC/ACM International Conference on Web Intelligence, 2021
Felipe Moreno Vera   +2 more
openaire   +1 more source

Performance evaluation for feature extractors on street view images

The Imaging Science Journal, 2015
This paper comprises a comprehensive evaluation of popular feature extractor algorithms used in the analysis of street view images. Feature extractors are considered to consist of two main parts, namely, feature detectors and feature descriptors. This study aims to evaluate state-of-the-art feature extractors under different experimental conditions ...
openaire   +1 more source

CNN-based Rain Reduction in Street View Images

London Imaging Meeting, 2020
Zini, Simone   +2 more
openaire   +2 more sources

Visual Navigation with Street View Image Matching

Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2016
Chih-Hung Hsu, Huei-Yung Lin
openaire   +1 more source

Security Processing of Street View Image Information

2023 7th Asian Conference on Artificial Intelligence Technology (ACAIT), 2023
Sheng Yuan   +3 more
openaire   +1 more source

Automatic Building Age Prediction from Street View Images

2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC), 2021
Maoran Sun   +2 more
openaire   +1 more source

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