Object Tracking

Object tracking is a computer vision technique that involves locating and following specific objects within a sequence of frames from video or image data. It relies on algorithms that analyze visual information to maintain the identity of the object over time, even as it moves through different environments. Common characteristics include the ability to handle occlusions, changes in scale, and variations in appearance. Object tracking is widely used in applications such as surveillance systems, autonomous vehicles, and augmented reality, where real-time tracking of objects is crucial for interaction and analysis.