realtime vehicle motion and speed analysis framework
M.Ponselvam,M.Venkadesan,A. Alad Manoj Peter
Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:4 Issue:3 Year: 01 April,2016 Pages:738-743
Abstract
We propose a new method of vehicle motion tracking. In our method, we use the template matching method for object tracking. The template matching method has been used in many applications. In vehicle tracking, there are some problems, such as vehicle size change, and shaded areas. To solve these problems, we divide and update the template at every frame by the background subtraction method. This paper presents a method for estimating vehicle speed by tracking the motion of a vehicle through a sequence of images. The moving direction of a vehicle is identified by using Principal Component Analysis PCA approach. The dominant component is directly estimated from the motion information. The results of tracking using PCA is proving that PCA is a great technique to track the motion of moving object, and has great potential to implement it into war field security system.
Kewords
PCA
Reference
1. Vamsi Krishna Madasu and M. Hanmandlu Estimation of Vehicle Speed by Motion Tracking on Image Sequences,2010 IEEE Intelligent Vehicles Symposium University of California, San Diego, CA, USA June 21,24, 2010. 2. Hiroki Nagashima, Seiichiro Katsura School of Integrated Design Engineering, Keio University Motion Analysis of Interaction Mode Control Using Principal Component Analysis. 3. Hiroshi Unno, Kouki Ojima, Keikichi Hayashibe, and Hitoshi Saji Vehicle Motion Tracking Using Symmetry of Vehicle and Background Subtraction.
