A Model for Multiple Vehicle Speed Detection by Video Processing In Matlab
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 6
Abstract
As the traffic increases in the cities, this video processing technique can be used to control the over-speeding vehicles by detecting their speeds, so that roads becomes less prone to accidents. Improved management of traffic is expected to alleviate present and future congestion and over speed safety problems in a broad field of traffic applications (highways, airports etc.)The vehicle speed detection system developed using video processing technique. A video is captured through an uncaliberated camera. Then we preprocess the video frames after that we do the multiple tracking of the ve. hicles that are in the video. After this we go for the vehicle speed detection of the multiple vehicles. The vehicle speed detection from a video frame system consists of 5 major components: 1) Image Acquisition, for collecting a series of single images from video scene and storing them in the temporary storage. 2) Image Enhancement, to improve some characteristics of the single image in order to provide accuracy and better future performance. 3) Image Segmentation, to perform the vehicle position detection using image differentiation by Gaussian mixture model 4) Image Analysis, to analyze the positions of the reference starting point and the reference ending point, of the moving vehicles by multiple vehicle tracking. 5) Speed Detection, to calculate the speed of each vehicle in the single image frame using the, detection vehicle position and the reference point positions.
Authors and Affiliations
Devender Kumar, Preeti Singh Rathour, Aakash Gupta
Keywords
Related Articles
- EP ID EP21025
- DOI -
- Views 260
- Downloads 7
Electing a Cluster Head for Efficient Data Transmission in Wireless Networks
A cluster denotes a group of independent servers interconnected through a dedicated network to work as one centralized data processing resource. Clustering is a popular strategy for implementing parallel processing appl...
Low Area and Low Power CMOS technology based RAM and Ternary CAM memory design
Ternary content addressable memory (TCAM) is an associative memory or associative array for very high speed searching applications. It compares input search data (tag) against a table of stored data and returns the addr...
Trends towards 3d Fingerprint Recognition: A Comparative Study
The essentially the most popular utilized biometrics, fingerprint may be considered for higher than a century. Many effective Fingerprint Recognition techniques usually are proposed while using the rapid progress of fin...
Power level management for metro optical networks
Based on various performance techniques available for optical metro communication system, in this paper, we compared various decibel based power amplifier eye opening diagram analysis in case of linear amplifier simulat...
Performance Parameters Evaluation of Energy- Efficient LEACH Routing Protocol
Wireless sensor network (WSN) consists of a very large number of dispersed and dedicated sensors in order to sense the physical conditions or parameters of the environment like sound, temperature, humidity, pollution le...