Tracking (computer vision) is the computational process within the field of computer vision dedicated to locating a specific object or multiple objects across a series of digital images or video frames and determining their spatiotemporal trajectory. This fundamental task involves analyzing visual data, often leveraging principles derived from optical imaging, to estimate and maintain the identity and state (e.g., position, velocity, orientation) of targets over time despite challenges such as occlusions, changes in appearance, and variations in illumination. Its significance spans various domains, including its integral role in analyzing dynamic visual data for applications such as surveillance, autonomous navigation, human-computer interaction, and its potential use in conjunction with geographic information systems for mapping dynamic elements or within contexts related to wireless networking for location-aware visual monitoring.