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This paper presents a method to detect and track the movement of the eye in a controlled context based on image processing techniques with minimal hardware support. Primary image processing techniques used in this paper are color segmentation and Hough Transform for circle detection. This system is capable of detecting the movement of the eye and its direction with reasonable accuracy.
Generally, large volumes of complicate and precise computation are required during the tracking process of typhoon eye, especially non-clear ones, which is one of the most important aspects in the forecast and analysis of typhoon. Satellite digital photograph and corresponding interpretation technology make it possible to carry out such task by aid of modern digital and computer means of image processing...
Dismounted targets can be tracked in urban environments with video sensors. Real-time systems are unable to process all of the imagery, demanding some method for prioritization of the processing resources. Furthermore, various segmentation algorithms exist within image processing, each algorithm possesses unique capabilities, and each algorithm has an associated computational cost. Additional complexity...
For many intelligent security systems the use of infrared technology is becoming essential and is a challenging issue. This paper outlines a framework for exploiting spatio-temporal tracking parameters to classify multiple moving objects and recognize their interactions using low quality thermal imagery. For outdoor scenes, motion segmentation is automatically performed using a novel dynamic background-subtraction...
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