A Novel approach for Graphical User Interface development and real time Object and Face Tracking using Image Processing and Computer Vision Techniques implemented in MATLAB

Image Processing is an advancement in the Signal processing domain where the input is an image or video and output can be image, video or in any other forms. With daily advances in Human-Computer interaction, Image Processing, along with computer vision has become an integral part of any intelligent system. They are mainly based on the workings of the visual perception function of the human brain. As such most of the algorithms are designed based around this central concept. The major application of Computer Vision is in the field of intelligent machines and robotic visions, where machines are made intelligent by being able to sense their surrounding visually and optimize themselves accordingly. In case of robots, through computer vision, they are made capable of sensing their surroundings, just like a human.

[1]  Gang Song,et al.  Object Detection Combining Recognition and Segmentation , 2007, ACCV.

[2]  Paul A. Viola,et al.  Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.

[3]  Scott T. Smith MATLAB Advanced GUI Development , 2006 .

[4]  Dorin Comaniciu,et al.  Real-time tracking of non-rigid objects using mean shift , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[5]  Rafael C. González,et al.  Digital image processing using MATLAB , 2006 .

[6]  Andrew W. Fitzgibbon,et al.  Dictionary of Computer Vision and Image Processing , 2005, J. Electronic Imaging.

[7]  Richard Szeliski,et al.  Computer Vision - Algorithms and Applications , 2011, Texts in Computer Science.

[8]  Veronica Carlan,et al.  Overhead imagery research data set — an annotated data library & tools to aid in the development of computer vision algorithms , 2009, 2009 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2009).

[9]  Paul A. Viola,et al.  Robust Real-time Object Detection , 2001 .

[10]  Majumder Dtuta,et al.  Digital Image Processing and Analysis , 2004 .