Abstract Person Re-Identification (Re-ID) is a critical aspect of visual surveillance systems,
which aims to automatically recognize and locate individuals across a multi-camera network …

One of the core challenges in visual multi-target tracking is occlusion. This is especially
important in applications such as video surveillance and sports analytics. While offline batch …

Multi-person tracking plays a vital role in intelligent video surveillance systems and has
attracted researchers' growing attention in recent years. This paper proposes a tracking-by …

Face recognition is an algorithm that is capable of identifying or verifying a query face from
multiple faces in the enrollment database. It poses a challenging problem in the field of …

Human iris has been explored as one of the most promising biometric traits since last many
years. This paper presents a new ingenious feature extraction approach which is based on …

The technical progress in the last decades makes photo and video recording devices
omnipresent. This change has a significant impact, among others, on police work. It is no …

Despite the great progress achieved, image-to-video person re-identification is still
challenging in the cross-modal scenario. Currently, state-of-the-art approaches mainly …

This paper presents a multi‐information flow convolutional neural network (MiF‐CNN) model
for person reidentification (re‐id). It contains several specific multilayer convolutional …

This paper proposes a novel feature-fusion frame work for the image-to-video person re-
identification. In this framework, we formulate person re-id problem as a classification-based …

This paper focuses on improving the performance of image-to-video person re-identification
through feature fusion. In this study, image-to-video person re-identification is formulated as …