Add to ORKGThis research investigated image tracking and edge detection for motorcycle in various lighting and weather conditions. The capability in different resolution and threshold level also evaluated. Comparison between hardware and software implementation of edge detection also been made. Develop framework showed great accuracy is segmentation of plate number from motorcycle image in daylight condition compared to rainy daylight and night condition. The aim of this project is to develop framework for motorcycle image detection and recognize for traffic offender. Analysis with histogram level and contrast stretching method showed performance in hardware is improved rather than software
In Malaysia, vehicle recognition system (VRS) such as vehicle plate recognition and counting, is rap...
Background The motorcycle is the main form of transport for many road users in the world, especially...
In this paper we present a computer vision system for daytime vehicle detection and localization, an...
This research investigated of image tracking and edge detection for motorcycle in various lighting a...
Motorcycle accidents have been rapidly growing throughout the years in many countries. Due to variou...
ABSTRACT−This paper describes a real-time vision-based blind spot warning system that has been speci...
There is a growing demand for road traffic data of all kinds. These data are required by local and c...
Development of real time motorcycle image detections on field programmable architecture is presented...
In modern societies, vehicle surveillance is considered as an important device that allows law enfor...
Kecelakaan lalu lintas sebagian besar terjadi pada malam hari. Hal ini dapat dimengerti karena tingk...
Detecting the vehicles and having a detailed behavior analysis of the vehicles and their behavior in...
Vision based road traffic analysis plays a vital role in modern traffic system. It introduced automa...
This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor...
Road traffic data analysis system has been a main concern of traffic engineer to optimize the road t...
The idea of safe and smart vehicles has been thoroughly researched over the past decades to ensure d...
In Malaysia, vehicle recognition system (VRS) such as vehicle plate recognition and counting, is rap...
Background The motorcycle is the main form of transport for many road users in the world, especially...
In this paper we present a computer vision system for daytime vehicle detection and localization, an...
This research investigated of image tracking and edge detection for motorcycle in various lighting a...
Motorcycle accidents have been rapidly growing throughout the years in many countries. Due to variou...
ABSTRACT−This paper describes a real-time vision-based blind spot warning system that has been speci...
There is a growing demand for road traffic data of all kinds. These data are required by local and c...
Development of real time motorcycle image detections on field programmable architecture is presented...
In modern societies, vehicle surveillance is considered as an important device that allows law enfor...
Kecelakaan lalu lintas sebagian besar terjadi pada malam hari. Hal ini dapat dimengerti karena tingk...
Detecting the vehicles and having a detailed behavior analysis of the vehicles and their behavior in...
Vision based road traffic analysis plays a vital role in modern traffic system. It introduced automa...
This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor...
Road traffic data analysis system has been a main concern of traffic engineer to optimize the road t...
The idea of safe and smart vehicles has been thoroughly researched over the past decades to ensure d...
In Malaysia, vehicle recognition system (VRS) such as vehicle plate recognition and counting, is rap...
Background The motorcycle is the main form of transport for many road users in the world, especially...
In this paper we present a computer vision system for daytime vehicle detection and localization, an...