Speed Sign Detection and Recognition using Histogram of Oriented Gradient and Support Vector Machine Method on Raspberry Pi
نویسندگان
چکیده
منابع مشابه
Automation of Speed in a High speed vehicle based on Roadside sign image recognition using Raspberry-Pi
Digital signal processing is used in many fields such as space exploration, medicine, geology etc. The main objective of this paper is to demonstrate the ability of image processing algorithms on embedded computing platforms .It describes a road sign recognition system based on an embedded system that reads and recognizes speed signs and also controls the speed of the moving vehicle. The paper ...
متن کاملAcoustic detection of apple mealiness based on support vector machine
Mealiness degrades the quality of apples and plays an important role in fruit market. Therefore, the use of reliable and rapid sensing techniques for nondestructive measurement and sorting of fruits is necessary. In this study, the potential of acoustic signals of rolling apples on an inclined plate as a new technique for nondestructive detection of Red Delicious apple mealiness was investigate...
متن کاملMonthly rainfall Forecasting using genetic programming and support vector machine
Rainfall and runoff estimation play a fundamental and effective role in the management and proper operation of the watershed, dams and reservoirs management, minimizing the damage caused by floods and droughts, and water resources management. The optimal performance of intelligent models has increased their use to predict various hydrological phenomena. Therefore, in this study, two intelligent...
متن کاملActivity Recognition Using Histogram of Oriented Gradient Pattern History
Human activity recognition is an important task in computer vision because it has many application areas such as, healthcare, security, entertainment, and tactical scenarios. This paper presents a methodology to automatically recognize human activity from input video stream using Histogram of Oriented Gradient Pattern History (HOGPH) features and SVM classifier. For this purpose, the proposed s...
متن کاملIris Recognition on Textured Contact Lens Using Proximal Support Vector Machine Classification Based Lens Detection Method
Iris is one of the most promising biometric modalities, and is in usual use in enormously large-scale applications. The presences of a contact lens, mainly a textured cosmetic lens, create a challenge to iris recognition as it obfuscates the natural iris patterns. Earlier work used novel lens detection algorithm with Modified Local Binary Pattern analysis (MLBP) features to produce feature valu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Engineering and Applied Sciences
سال: 2019
ISSN: 1816-949X
DOI: 10.36478/jeasci.2019.7495.7501