Highway Visual Tracking System using Thresholding and Hough Transform
نویسندگان
چکیده
منابع مشابه
Iris localization by means of adaptive thresholding and Circular Hough Transform
In this paper, a new iris localization method for mobile devices is presented. Our system uses both intensity and saturation threshold on the captured eye images to determine iris boundary and sclera area, respectively. Estimated iris boundary pixels which have been placed outside the sclera will be removed. The remaining pixels are mainly the boundary of iris inside the sclera. Then, circular ...
متن کاملImproved Detection and Tracking of Lane Marking Using Hough Transform
Autonomous driver assistance system is a core component for the robust detection and tracking of lane markings on roads and pedestrian detection. The lane detection method is a major component of intelligent transport system. Lane detection helps to estimate the road geometry ahead as well as lateral position of vehicle. A fast lane detection algorithm is proposed by Hough transform which is fa...
متن کاملVisual Tracking using Kernel Projected Measurement and Log-Polar Transformation
Visual Servoing is generally contained of control and feature tracking. Study of previous methods shows that no attempt has been made to optimize these two parts together. In kernel based visual servoing method, the main objective is to combine and optimize these two parts together and to make an entire control loop. This main target is accomplished by using Lyapanov theory. A Lyapanov candidat...
متن کاملVisual Tracking for Intelligent Vehicle-Highway Systems
The complexity and congestion of current transportation systems often produce traffic situations that jeopardize the safety of the people involved. These situations vary from maintaining a safe distance behind a leading vehicle to safely allowing a pedestrian to cross a busy street. Environmental sensing plays a critical role in virtually all of these situations. Of the sensors available, visio...
متن کاملParticle Filter-based Fingertip Tracking with Circular Hough Transform Features
In this work, we present a fingertip tracking framework which allows observation of finger movements in task space. By applying a multi-scale edge extraction technique, an edge map is generated in which low contrast edges are preserved while noise is suppressed. Based on circular image features, determined from the map using Hough transform, the fingertips are accurately tracked by combining a ...
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: Jurnal Ilmiah Teknik Elektro Komputer dan Informatika
سال: 2019
ISSN: 2338-3062,2338-3070
DOI: 10.26555/jiteki.v4i2.12016