Tracking And Detection using MATLAB

  Ms. Jui Deshmukh

As per technical evolution and latest trends taken into consideration, here effectively created a system i.e. face recognition system. This system is created in the vision of security point of view so it can be use for the application of navigation, forest, animals tracking, thief tracking, spacecraft security, army, military applications etc. In this project, here created a database of object, which is to be track i.e. animals like dog, elephant, tiger, lion etc, also in this project, it is easier to recognize a particular human being. This is possible with the help of matlab processing and according to texture base recognition, can able to recognize a particular object, animal and human being etc. This project uses multiple processing techniques along with gabor filtering process to generate texture based recognition. This project uses algorithmic flow i.e. pre-processing, Feature extraction, Gabor filtering and KNN Classifier for this object recognition. This project created according to forest security i.e. animal recognition also we can able to recognize the particular human being and any object. In this project i.e. image processing, a Gabor filter, named after Dennis Gabor, is a linear filter used for object detection and recognition. Frequency and orientation representations of Gabor filters are similar to those of the human visual system. They have been found to be particularly appropriate for texture representation and discrimination. The Gabor space is very useful in image processing applications such as optical character recognition, iris recognition and fingerprint recognition.

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Unique Identification Number - IJEDR1602338
Page Number(s) - 1926-1929
Pubished in - Volume 4 | Issue 2 | June 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Ms. Jui Deshmukh,   "Tracking And Detection using MATLAB", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 2, pp.1926-1929, June 2016, Available at :http://www.ijedr.org/papers/IJEDR1602338.pdf