A Study on Edge Tracing for Vehicle Algorithm

Feature extraction is an important step for vehicle recognition. However, there are many regions in a vehicle image, and it is difficult to extract the edge vectors of the regions of the image. So, a new developed contour tracing approach has been proposed in this study, it was applied to the pixel set formed from the vehicle image in order to obtain the characteristic vector which is very important in the vehicle recognition. This approach is based on scan-line and neighborhoods of the analyzed point algorithm. The results of this test shows good sensitivity to noise and local edge distortions, it also shows that the edges of basic non-convex and convex objects could be determined easily.

[1]  Andriy M. Chertov Extraction of the Straight Line Segments from the Noisy Images as a Part of Pattern Recognition Procedure , 2006 .

[2]  Hanan Samet,et al.  Linear-time border-tracing algorithms for quadtrees , 1992, Algorithmica.

[3]  Eduardo Jyh Herng Wu,et al.  Artificial neural network: border detection in echocardiography , 2008, Medical & Biological Engineering & Computing.

[4]  Hamid Reza Pourreza,et al.  Vehicle Recognition Using Curvelet Transform and SVM , 2007, Fourth International Conference on Information Technology (ITNG'07).

[5]  SchindlerKonrad,et al.  Coupled Object Detection and Tracking from Static Cameras and Moving Vehicles , 2008 .

[6]  Hamid Reza Pourreza,et al.  Vehicle Recognition Based on Fourier, Wavelet and Curvelet Transforms - a Comparative Study , 2007, Fourth International Conference on Information Technology (ITNG'07).

[7]  Luc Van Gool,et al.  Coupled Object Detection and Tracking from Static Cameras and Moving Vehicles , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  Milan Sonka,et al.  Image Processing, Analysis and Machine Vision , 1993, Springer US.

[9]  Rangasami L. Kashyap,et al.  Geometric Reasoning for Recognition of Three-Dimensional Object Features , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Mujeeb R. Malik,et al.  Acoustic receptivity of Mach 4.5 boundary layer with leading-edge bluntness , 2007 .

[11]  Bobo Duan,et al.  A Study on Data Parallel Optimization for Real-time Vehicle Recognition Algorithm , 2007, 2007 IEEE Intelligent Transportation Systems Conference.

[12]  Steven K. Feiner,et al.  Introduction to Computer Graphics , 1993 .

[13]  Alfred M. Bruckstein,et al.  Regularized Laplacian Zero Crossings as Optimal Edge Integrators , 2003, International Journal of Computer Vision.

[14]  Andrzej Nowak,et al.  Edge tracing in a priori known direction , 1992, ECCV.

[15]  Florence H. Sheehan,et al.  Performance of User Independent Echocardiographic Border Detection Algorithm: Comparison with Human Observer Variability , 2005, The International Journal of Cardiovascular Imaging.

[16]  Saeid Rahati,et al.  Vehicle Recognition Using Contourlet Transform and SVM , 2008, Fifth International Conference on Information Technology: New Generations (itng 2008).