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Computer vision has been proven a remarkable entity in modern computer science. Different applications of this field have been used on a regular basis. In this paper, we propose a new model for tracking real time object (i.e., car, human face, interior objects, arms, etc.) from video feed by providing training with HAAR features and also with the i...
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... we have detected the Canny-Edges of the binary processed detected area containing the object(s). The purpose of doing Canny Edge detection is to detect the strong edges in each frame. Several key processing has been done, reduction of noise, finding intensity of the gradient images, non-maximum suppression and Hysteresis Thresholding [13]. Fig. 6 (left) shows the detection of the strong edges of the gray scaled image; Fig. 6 (right) shows the detected contours, while finding the intensity gradient of the image Sobel kernel has been used in order to get the first derivative along the horizontal axis and along the vertical axis. The equation [13] of the edge gradient and direction is ...
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... the object(s). The purpose of doing Canny Edge detection is to detect the strong edges in each frame. Several key processing has been done, reduction of noise, finding intensity of the gradient images, non-maximum suppression and Hysteresis Thresholding [13]. Fig. 6 (left) shows the detection of the strong edges of the gray scaled image; Fig. 6 (right) shows the detected contours, while finding the intensity gradient of the image Sobel kernel has been used in order to get the first derivative along the horizontal axis and along the vertical axis. The equation [13] of the edge gradient and direction is provided in (5) and (6), ...
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