Person re-identification(ReID)is a critical task in computer vision with numerous practical applications such as video surveillance and personnel tracking.A novel method was proposed to address the challenges of ReID in complex scenarios,including issues like occlusion,changes in viewpoint,and variations in lighting conditions.Multi-modal fusion techniques were utilized to enhance the discriminative capabilities of the ReID model,making it more robust in challenging real-world scenarios.Extensive experiments were conducted on benchmark datasets to demonstrate the effectiveness of the proposed method,achieving state-of-the-art performance.
关键词
视频监控/人员跟踪/人员重识别/多模态融合/重识别(ReID)模型
Key words
video surveillance/personnel tracking/person re-identification/multi-modal fusion/re-identification(ReID)model
维普
万方数据