Person Search

Person search is a computer vision task aiming to jointly detect and identify a specific individual within a large set of images or video frames. Current research emphasizes improving robustness to variations in scene context, viewpoint, occlusion, and even clothing changes, often employing deep learning models such as Faster R-CNN architectures, transformers, and diffusion models, along with techniques like contrastive learning and domain adaptation. These advancements are crucial for applications ranging from security and surveillance to more nuanced tasks like text-based person retrieval and media analysis, driving significant progress in both algorithm design and dataset creation.