Automatic Vehicle Detection Using Pixelwise Classification Approach
نویسندگان
چکیده
منابع مشابه
Automatic Vehicle Detection Using Pixelwise Classification Approach
We present a system to detect and track moving vehicles based on the pixelwise classification approach. In this approach escapes some of the existing frameworks for detection vehicles in traffic monitoring systems. So many researchers and intelligent minds are introduces so many technique but not provided the accurate results. Proposed technique uses designed pixel wise classification method, c...
متن کاملVehicle Classification Using Novel Edge Detection Technique
Vehicle Class is an important parameter in road traffic management. With the help of vehicle classification the computation of percentage of state-aid streets, highways becomes simpler and it is also used in automated toll bridges. In this paper we classify the vehicles into three main broad categories: A) Light vehicle B) Medium Vehicle C) Heavy Vehicle. Firstly, the image pre-processing is do...
متن کاملOn Road Vehicle Detection using Association Approach
On road vehicle detection is an essential part of the Intelligent Vehicles and it is an important problem in the area of intelligent transportation systems, driven assistance systems and selfguided vehicles. The proposed algorithms should detect out all cars in realtime. Related to the driving direction, the cars can be classified into two types. Cars drive in the same direction as the intellig...
متن کاملIntelligent automatic overtaking system using vision for vehicle detection
There is clear evidence that investment in intelligent transportation system technologies brings major social and economic benefits. Technological advances in the area of automatic systems in particular are becoming vital for the reduction of road deaths. We here describe our approach to automation of one the riskiest autonomous manoeuvres involving vehicles overtaking. The approach is based on...
متن کاملAutomatic Vehicle Detection and Tracking in Aerial Surveillances using SVM
Target object detection in aerial surveillance using image processing techniques is growing more and more important. Aerial surveillance is more suitable for monitoring fast moving targets and covers a much larger spatial area. These technologies have a variety of applications, such as traffic management, police and military. Aerial view has the advantage of providing a better perspective of th...
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: IOSR Journal of Computer Engineering
سال: 2013
ISSN: 2278-8727,2278-0661
DOI: 10.9790/0661-1210815