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Video tracking is the process of locating a moving object (or multiple objects) over time. Video tracking is an active research topic in the computer vision community and is a prerequisite for many tasks, such as human-computer interaction, security and surveillance, video communication and compression, augmented reality, traffic control, medical imaging, and video editing.
Computer vision, or the ability of artificially intelligent systems to �see� like humans, has been a subject of increasing interest and rigorous research now. As a way of emulating the human visual system, the research in the field of computer vision purports to develop machines that can automate tasks that require visual cognition. However, the process of deciphering images, due to the significantly greater amount of multi-dimensional data that needs analysis, is much more complex than understanding other forms of binary information. This makes developing AI systems that can recognize visual data more complicated.