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With ever increasing number of vehicles, vehicular tracking is one of the major challenges faced by urban areas. In this paper we try to develop a model that can locate a particular vehicle that the user is looking for depending on two…

计算机视觉与模式识别 · 计算机科学 2021-04-21 Aashna Ahuja , Arindam Chaudhuri

Over the last decade, there has been a spike in criminal activity all around the globe. According to the Indian police department, vehicle theft is one of the least solved offenses, and almost 19% of all recorded cases are related to motor…

计算机视觉与模式识别 · 计算机科学 2021-11-25 Shantha Kumar S , Vykunth P , Jayanthi D

The reliable detection of speed of moving vehicles is considered key to traffic law enforcement in most countries, and is seen by many as an important tool to reduce the number of traffic accidents and fatalities. Many automatic systems and…

计算机视觉与模式识别 · 计算机科学 2015-01-28 Chaim Ginzburg , Amit Raphael , Daphna Weinshall

Vehicle theft is arguably one of the fastest-growing types of crime in India. In some of the urban areas, vehicle theft cases are believed to be around 100 each day. Identification of stolen vehicles in such precarious scenarios is not…

计算机视觉与模式识别 · 计算机科学 2020-07-20 K. V. Kadambari , Vishnu Vardhan Nimmalapudi

License plate recognition is the key component to many automatic traffic control systems. It enables the automatic identification of vehicles in many applications. Such systems must be able to identify vehicles from images taken in various…

计算机视觉与模式识别 · 计算机科学 2019-02-15 Andrej Jokic , Nikola Vukovic

Vehicle detection and tracking applications play an important role for civilian and military applications such as in highway traffic surveillance control, management and urban traffic planning. Vehicle detection process on road are used for…

计算机视觉与模式识别 · 计算机科学 2014-10-23 Raad Ahmed Hadi , Ghazali Sulong , Loay Edwar George

Car license plate recognition system is an image processing technology used to identify vehicles by capturing their Car License Plates. The car license plate recognition technology is also known as automatic number-plate recognition,…

计算机视觉与模式识别 · 计算机科学 2026-03-03 Yiquan Gao

Traffic scene analysis is important for emerging technologies such as smart traffic management and autonomous vehicles. However, such analysis also poses potential privacy threats. For example, a system that can recognize license plates may…

计算机视觉与模式识别 · 计算机科学 2022-05-05 Saeed Ranjbar Alvar , Korcan Uyanik , Ivan V. Bajić

Although many anti-theft technologies are implemented, auto-theft is still increasing. Also, security vulnerabilities of cars can be used for auto-theft by neutralizing anti-theft system. This keyless auto-theft attack will be increased as…

密码学与安全 · 计算机科学 2017-04-19 Byung Il Kwak , JiYoung Woo , Huy Kang Kim

Smart automated traffic enforcement solutions have been gaining popularity in recent years. These solutions are ubiquitously used for seat-belt violation detection, red-light violation detection and speed violation detection purposes.…

计算机视觉与模式识别 · 计算机科学 2019-12-06 Alperen Elihos , Burak Balci , Bensu Alkan , Yusuf Artan

License plate detection and recognition (LPDR) is of growing importance for enabling intelligent transportation and ensuring the security and safety of the cities. However, LPDR faces a big challenge in a practical environment. The license…

计算机视觉与模式识别 · 计算机科学 2022-11-03 Xuewen Yang , Xin Wang

Vehicle tracking is an integral part of intelligent traffic management systems. Previous implementations of vehicle tracking used Global Positioning System(GPS) based systems that gave location of the vehicle of an individual on their…

计算机视觉与模式识别 · 计算机科学 2020-05-19 Lalit Lakshmanan , Yash Vora , Raj Ghate

Identity of a vehicle is done through the vehicle license plate by traffic police in general. Au- tomatic vehicle license plate recognition has several applications in intelligent traffic management systems. The security situation across…

计算机视觉与模式识别 · 计算机科学 2015-04-08 Lajish V. L. , Sunil Kumar Kopparapu

License Plate Recognition plays an important role on the traffic monitoring and parking management. Administration and restriction of those transportation tools for their better service becomes very essential. In this paper, a fast and real…

计算机视觉与模式识别 · 计算机科学 2014-07-25 Reza Azad , Babak Azad , Hamid Reza Shayegh

Vehicles play a vital role in modern day transportation systems. Number plate provides a standard means of identification for any vehicle. To serve this purpose, automatic licence plate recognition system was developed. This consisted of…

神经与进化计算 · 计算机科学 2017-10-31 Tejas K , Ashok Reddy K , Pradeep Reddy D , Rajesh Kumar M

License Plate recognition plays an important role on the traffic monitoring and parking management systems. In this paper, a fast and real time method has been proposed which has an appropriate application to find tilt and poor quality…

计算机视觉与模式识别 · 计算机科学 2014-07-25 Reza Azad , Hamid Reza Shayegh

Face recognition from image or video is a popular topic in biometrics research. Many public places usually have surveillance cameras for video capture and these cameras have their significant value for security purpose. It is widely…

计算机视觉与模式识别 · 计算机科学 2013-02-27 Faizan Ahmad , Aaima Najam , Zeeshan Ahmed

Video-based vehicle detection and tracking is one of the most important components for Intelligent Transportation Systems (ITS). When it comes to road junctions, the problem becomes even more difficult due to the occlusions and complex…

计算机视觉与模式识别 · 计算机科学 2019-04-30 Yuan Yuan , Yuwei Lu , Qi Wang

In this work, we tackle the problem of car license plate detection and recognition in natural scene images. We propose a unified deep neural network which can localize license plates and recognize the letters simultaneously in a single…

计算机视觉与模式识别 · 计算机科学 2017-09-27 Hui Li , Peng Wang , Chunhua Shen

Benefiting from the rapid development of convolutional neural networks, the performance of car license plate detection and recognition has been largely improved. Nonetheless, most existing methods solve detection and recognition problems…

计算机视觉与模式识别 · 计算机科学 2022-07-12 Shuxin Qin , Sijiang Liu
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