Object detection is a computer vision technique that identifies and locates objects within images or videos. It not only classifies objects into predefined categories—such as people, cars, or animals—but also draws bounding boxes around them to indicate their positions. Unlike simple image classification, which only determines the presence of an object, object detection provides both the “what” and the “where.” When extended to video sequences, object detection is often combined with tracking, a process that follows the movement of detected objects across multiple frames. Tracking assigns consistent identities to objects over time, allowing systems to monitor behavior, count objects, or predict motion. This combination is crucial in applications like autonomous vehicles, surveillance, and sports analytics, where understanding object dynamics is essential.
