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Vehicle logo recognition using histograms of oriented gradient descriptor and sparsity score

Kittikhun Meethongjan, Thongchai Surinwarangkoon, Vinh Truong Hoang
2020 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
In this paper, we propose a method for vehicle logo recognition based on feature selection method in a hybrid way.  ...  The experimental results are evaluated on this database which show the efficiency of the proposed approach.  Vehicle logo recognition using histograms of oriented gradient descriptor and...  ...  [8] present a new VLR method based on foreground-background pixel-pair feature. Different hand-crafted descriptors (HOG, LBP and SIFT) are applied to extract features. Cyganek and M.  ... 
doi:10.12928/telkomnika.v18i6.16133 fatcat:lf2go5apabf73m3wpi2ozzhsp4

Hierarchical and Networked Vehicle Surveillance in ITS: A Survey

Bin Tian, Brendan Tran Morris, Ming Tang, Yuqiang Liu, Yanjie Yao, Chao Gou, Dayong Shen, Shaohu Tang
2017 IEEE transactions on intelligent transportation systems (Print)  
Accordingly, we present a review of the literature on the video-based vehicle surveillance systems in ITSs.  ...  We analyze the existing challenges in video-based surveillance systems for the vehicle and present a general architecture for video surveillance systems, i.e., the hierarchical and networked vehicle surveillance  ...  A novel approach for vehicle logo detection based on edge detection and morphological filter was proposed in [109] .  ... 
doi:10.1109/tits.2016.2552778 fatcat:hkc7ug3rgballl4gtfp2a2nu2i

Hierarchical and Networked Vehicle Surveillance in ITS: A Survey

Bin Tian, Brendan Tran Morris, Ming Tang, Yuqiang Liu, Yanjie Yao, Chao Gou, Dayong Shen, Shaohu Tang
2014 IEEE transactions on intelligent transportation systems (Print)  
Accordingly, we present a review of the literature on the video-based vehicle surveillance systems in ITSs.  ...  We analyze the existing challenges in video-based surveillance systems for the vehicle and present a general architecture for video surveillance systems, i.e., the hierarchical and networked vehicle surveillance  ...  A novel approach for vehicle logo detection based on edge detection and morphological filter was proposed in [109] .  ... 
doi:10.1109/tits.2014.2340701 fatcat:ibm5rputr5gv5o2kazayjr6wkq

Scene Text Recognition Using Co-occurrence of Histogram of Oriented Gradients

Shangxuan Tian, Shijian Lu, Bolan Su, Chew Lim Tan
2013 2013 12th International Conference on Document Analysis and Recognition  
The proposed scene text recognition technique is evaluated on ICDAR2003 character dataset and Street View Text (SVT) dataset.  ...  Experiments show that the Co-HOG based technique clearly outperforms state-of-the-art techniques that use HOG, Scale Invariant Feature Transform (SIFT), and Maximally Stable Extremal Regions (MSER).  ...  It has become a very promising tool in different applications such as unmanned vehicle/robot navigation, living aids for visually impaired persons, content based image retrieval, etc.  ... 
doi:10.1109/icdar.2013.186 dblp:conf/icdar/TianLST13 fatcat:cjxtxt4fuzbjncbnxmrbqxoo4e

Automated License Plate Recognition: A Survey on Methods and Techniques

Jithmi Shashirangana, Heshan Padmasiri, Dulani Meedeniya, Charith Perera
2020 IEEE Access  
With the explosive growth in the number of vehicles in use, automated license plate recognition (ALPR) systems are required for a wide range of tasks such as law enforcement, surveillance, and toll booth  ...  In order to meet these requirements, a variety of techniques have been developed for license plate recognition.  ...  COLOUR-BASED METHODS Colour-based methods rely on the fact that the colour of a license plate is different from the background colour of the vehicle.  ... 
doi:10.1109/access.2020.3047929 fatcat:uhf4ff4c6rechjcyjotvpm5edy

THE AUTOMATIC LICENSE PLAT RECOGNITION(ALPR)

Rinku K. Solanki .
2013 International Journal of Research in Engineering and Technology  
Many attributes like illumination, blur, background color, foreground color etc. will pose a problem.  ...  These plates in general are easily readable by human due to their high level of intelligence on the contrary; it becomes an extremely difficult task for the computers to do the same.  ...  A hole is a set of background pixels that cannot be reached by filling in the background from the edge of the image.  ... 
doi:10.15623/ijret.2013.0207021 fatcat:6baaxrxmwvdnvlcquva25y4liu

THE AUTOMATIC LICENSE PLATE RECOGNITION (ALPR)

Rinku Solanki .
2013 International Journal of Research in Engineering and Technology  
Many attributes like illumination, blur, background color, foreground color etc. will pose a problem.  ...  These plates in general are easily readable by human due to their high level of intelligence on the contrary; it becomes an extremely difficult task for the computers to do the same.  ...  A hole is a set of background pixels that cannot be reached by filling in the background from the edge of the image.  ... 
doi:10.15623/ijret.2013.0208055 fatcat:qkvlgko3tjgkxlqzrmqpwzc37m

Open Logo Detection Challenge [article]

Hang Su, Xiatian Zhu, Shaogang Gong
2018 arXiv   pre-print
To address this challenge, we propose a Context Adversarial Learning (CAL) approach to synthesising training data with coherent logo instance appearance against diverse background context for enabling  ...  Specifically, this new setting assumes fine-grained labelling only on a small proportion of logo classes whilst the remaining classes have no labelled training data to simulate the open deployment.  ...  Acknowledgement This work was partially supported by the China Scholarship Council, Vision Semantics Ltd, Royal Society Newton Advanced Fellowship Programme (NA150459), and Innovate UK Industrial Challenge Project on  ... 
arXiv:1807.01964v3 fatcat:ih6tgdepbjcctfgj4hrvppueg4

Classification Based on Machine Learning Methods for Identification of Image Matching Achievements

Dewi Faroek, Rusydi Umar, Imam Riadi
2022 Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)  
Identification of image suitability is determined through the image segmentation process, and feature extraction is based on the statistics of Red-Green-Blue (RGB), Hue-Saturation-Value (HSV), feature  ...  on the original and fake logos.  ...  The area in the image is calculated based on the number of pixels with a value of 1, the perimeter is calculated based on the number of the object's outermost pixels, and eccentricity is a feature extraction  ... 
doi:10.29207/resti.v6i2.3826 fatcat:z24adc3jdvbvjlehynafmagsdy

A generic method of cleaning and enhancing handwritten data from business forms

Xiangyun Ye, Mohamed Cheriet, Ching Y. Suen
2001 International Journal on Document Analysis and Recognition  
When the handwriting is found touching or crossing preprinted texts, morphological operations based on statistical features are used to clean it.  ...  Therefore, we have designed a module to enhance the image quality based on morphological operations.  ...  Considering the definition of foreground and background pixels in Sect. 2, we may use the opening operation with linear shape structuring elements on foreground pixels to remove any line segment shorter  ... 
doi:10.1007/s100320100056 fatcat:jofq5eiop5dehijp4cheblenoa

Image Segmentation and Labeling Using Free-Form Semantic Annotation

Agnes Tegen, Rebecka Weegar, Linus Hammarlund, Magnus Oskarsson, Fangyuan Jiang, Dennis Medved, Pierre Nugues, Kalle Astrom
2014 2014 22nd International Conference on Pattern Recognition  
In the paper we present a system based on a combined visual and semantic pipeline. In the visual pipeline, a list of tentative figure-ground segmentations is first proposed.  ...  Each such segmentation is classified into a set of visual categories. In the natural language processing pipeline, the text is parsed and chunked into objects.  ...  Segmentation is the process of dividing an image into sections, e.g. finding where one object ends and another begins or separating foreground from background.  ... 
doi:10.1109/icpr.2014.396 dblp:conf/icpr/TegenWHOJMNA14 fatcat:bmeo237zp5cavjvnjhohid6mrq

A Hough Transform based Technique for Text Segmentation [article]

Satadal Saha, Subhadip Basu, Mita Nasipuri, Dipak Kr. Basu
2010 arXiv   pre-print
The present work implements a Hough transform based technique for line and word segmentation from digitized images.  ...  The proposed technique is applied not only on the document image dataset but also on dataset for business card reader system and license plate recognition system.  ...  They may have different foreground colors and background shades also. The cards may also contain logo, image and other types of graphics also along with the text.  ... 
arXiv:1002.4048v1 fatcat:upd365ea5ncadplgg2cyzae4qi

A machine learning model pipeline for detecting wet pavement condition from live scenes of traffic cameras

Clint Morris, Jidong J. Yang
2021 Machine Learning with Applications  
In this paper, a novel machine learning model pipeline is proposed to detect the wetness of pavement based on live images of the highway scenes captured by publicly accessible traffic cameras.  ...  Based on experiments with our custom dataset, the best performance (F1 score: 0.927, AUC: 0.975) was achieved by the R101-FPN backbone coupled with the CatBoost classifier.  ...  of Background subtraction model The classic Gaussian mixture-based background/foreground segmentation algorithm (i.e., MOG2) was adopted to remove moving vehicles in light of its proved efficiency  ... 
doi:10.1016/j.mlwa.2021.100070 fatcat:5k5b4ib3czgqvftlieirfwtmf4

Video redaction: a survey and comparison of enabling technologies

Shagan Sah, Ameya Shringi, Raymond Ptucha, Aaron Burry, Robert Loce
2017 Journal of Electronic Imaging (JEI)  
Automated methods rely on accurate detection mechanisms being paired with robust tracking methods across the video sequence to ensure the redaction of all sensitive information while minimizing spurious  ...  The present paper reviews the redaction problem and compares a few state-of-the-art detection, tracking, and obfuscation methods as they relate to redaction.  ...  Also, pixels in the bounding box but not directly on the object of interest can have a low level of importance. One approach to addressing critical pixels is with a saliency weighting.  ... 
doi:10.1117/1.jei.26.5.051406 fatcat:do2a6emcmnexfodvv6kbfk3jc4

Hybrid ensemble of classifiers for logo and trademark symbols recognition

Bogusław Cyganek
2014 Soft Computing - A Fusion of Foundations, Methodologies and Applications  
The second of the classifiers is based on the structural tensor recognition of local phase histograms.  ...  The paper presents a hybrid ensemble of diverse classifiers for logo and trademark symbols recognition. The proposed ensemble is composed of four types of different member classifiers.  ...  In their method, the Haar wavelets are used as low-level features in a chain of simple classifiers to select from background pixels which belong to human faces.  ... 
doi:10.1007/s00500-014-1323-8 fatcat:uudsilczm5cilf5f6f5m7cdj6u
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