Real-Time Object Tracking Through Webcam:
Object tracking is an important task in computer vision.
Many algorithms have been proposed to solve the various problems arisen from
noises, clutters and occlusions in the appearance model of the target to be
tracked. Among various object tracking methods, the mean shift tracking
algorithm is a popular one due to its simplicity and efficiency. Mean shift is
a non parametric density estimator which iteratively computes the nearest mode
of a sample distribution. After it was introduced to the field of computer
vision, mean shift has been adopted to solve various problems, such as image
filtering, segmentation and object tracking. In the mean shift tracking
algorithm, the color histogram is used to represent the target because of its
robustness to scaling, rotation and partial occlusion.