Accurate Moving Target Detection Based on Background Subtraction and SUSAN

[1]  Hans-Hellmut Nagel,et al.  Combination of Edge Element and Optical Flow Estimates for 3D-Model-Based Vehicle Tracking in Traffic Image Sequences , 1999, International Journal of Computer Vision.

[2]  Tim J. Dennis,et al.  An adaptive implementation of the SUSAN method for image edge and feature detection , 1997, Proceedings of International Conference on Image Processing.

[3]  S. M. Steve SUSAN - a new approach to low level image processing , 1997 .

[4]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  W. Eric L. Grimson,et al.  Adaptive background mixture models for real-time tracking , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

[6]  Feng Li,et al.  A hybrid camera for motion deblurring and depth map super-resolution , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[7]  Yaoyu cheng-Shuxian Zhang,et al.  Edge detection algorithm based on SUSAN operation on auto hub image , 2009 .

[8]  Riad I. Hammoud Augmented Vision Perception in Infrared , 2009 .

[9]  Glen P. Abousleman,et al.  Low false alarm target detection and tracking within strong clutters in outdoor infrared videos , 2010 .

[10]  Luis Salgado,et al.  Adaptive background modeling in multicamera system for real-time object detection , 2011 .

[11]  Hironobu Fujiyoshi,et al.  Moving target classification and tracking from real-time video , 1998, Proceedings Fourth IEEE Workshop on Applications of Computer Vision. WACV'98 (Cat. No.98EX201).