Pedestrian Representation

Pedestrian representation in computer vision focuses on developing robust and accurate methods for encoding pedestrian information from various data sources, primarily to improve downstream tasks like trajectory prediction, detection, and re-identification. Current research emphasizes learning effective representations from multimodal data (images, text, attributes), incorporating sophisticated graph-based models to capture individual and group interactions, and addressing challenges like occlusion through feature calibration and multi-view aggregation techniques. These advancements are crucial for improving the safety and efficiency of autonomous systems, particularly in crowded environments, and contribute to broader progress in human behavior understanding and scene analysis.