Person Detection

Person detection, the task of identifying and locating individuals within images or videos, is a crucial area of computer vision research with applications in autonomous driving, robotics, and security. Current research emphasizes improving robustness and accuracy across diverse conditions, including low-light, occlusion, and varying viewpoints, often employing deep learning models like convolutional neural networks (CNNs) and transformers, sometimes incorporating multimodal data (e.g., RGB-D, thermal). Significant efforts focus on developing more efficient and privacy-preserving methods, such as those using low-resolution sensors or synthetic training data, while addressing challenges like long-tail distributions in datasets and adversarial attacks. These advancements are driving progress in human-robot interaction, intelligent surveillance, and other fields requiring reliable and efficient human detection.