The performance of video surveillance systems with network cameras depends on their
accuracy in people re-identification. Body occlusion, crowded background, and variations in …

In this paper, we propose a novel approach for multiple-shot people re-identification. Due to
high variance in camera view, light illumination, non-rigid deformation of posture and so on …

Human behavior analysis and visual anomaly detection are important applications in fields
such as video surveillance, security systems, intelligent houses, and elderly care. People re …

Video surveillance systems are widely used in the public and private sectors for maintaining
security and healthcare purposes. Performance of surveillance systems directly depends on …

The task of re-identifying the same person in several video/image sequences obtained from
multiple camera viewpoints and angles is known as person Re-Identification (Re-ID). Person …

Pedestrian re-identification (re-ID) is a video surveillance technology for specific pedestrians
in non-overlapping multi-camera scenes. However, due to the influence of dramatic changes …

Person re-identification (Re-Id) across nonoverlapping camera views is one of challenging
problems in surveillance video analysis. The difficulties in person Re-Id mainly come from …

Person re-identification is an important task to match pedestrian images from disjointed
camera views. Most existing approaches seek a target by learning a global ranking model …

Person re-identification which aims to match people across non-overlapping cameras has
become an important research topic due to the increasing demand in many important …

Person re-identification is among the key issues in video surveillance. From the viewpoint of
fusing appearance statistical features, human color and structure information are exploited; …