Pedestrian Retrieval

Pedestrian retrieval, a crucial aspect of computer vision, focuses on identifying and matching images of the same pedestrian across different cameras or modalities (e.g., visible light and infrared). Current research emphasizes improving the robustness of retrieval across varying conditions like lighting, viewpoint, and occlusion, often employing transformer-based architectures, optimal transport methods, and techniques that leverage both spatial and temporal information from video data. Advances in this field have significant implications for enhancing security systems, improving traffic management, and facilitating more effective search and retrieval in large-scale visual datasets.