Computer vision, the field of how to enable computers to see the
world, has been studied in the research community for a long time,
and various technologies have been developed and are mature enough
to be deployed in our daily lives. These technologies and applications
include but are not limited to facial recognition for personal password
login, moving object detection and tracking for video surveillance,
and human activity recognition for entertainment purposes. These
applications are typically made possible through one or multiple cameras
mounted on stationary platforms. The backend software system—
usually running on powerful machines such as personal computers or
high-end servers—captures and analyzes the live video data and
responds accordingly, depending on the target application
Computer vision, the field of how to enable computers to see the
world, has been studied in the research community for a long time,
and various technologies have been developed and are mature enough
to be deployed in our daily lives. These technologies and applications
include but are not limited to facial recognition for personal password
login, moving object detection and tracking for video surveillance,
and human activity recognition for entertainment purposes. These
applications are typically made possible through one or multiple cameras
mounted on stationary platforms. The backend software system—
usually running on powerful machines such as personal computers or
high-end servers—captures and analyzes the live video data and
responds accordingly, depending on the target application
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