Image tracking is the process of following an object’s position across successive frames in a video or camera stream. The software matches the same target over time, even as it moves, rotates, changes scale, or is briefly obscured. Tracking can be done with simple pixel motion, feature matching, or more advanced computer vision models, and it is often combined with depth or stereo vision when precise position estimates are needed.
In cyber security, image tracking matters wherever cameras or visual sensors support detection and response. Security teams use it to follow people, vehicles, or devices across scenes, while defenders may also track screen activity or physical tampering in monitored areas. Attackers can try to defeat tracking by moving too fast, creating blur, hiding behind objects, or using visual spoofing. Reliable tracking depends on timing, contrast, synchronization, and stable camera geometry, because a system can only trust what it can consistently measure.