In recent years, person re-identification (ReID) has received much attention since it is a
fundamental task in intelligent surveillance systems and has widespread application …

The way people walk is a strong correlate of their identity. Several studies have shown that
both humans and machines can recognize individuals just by their gait, given that proper …

Traditional person re-identification (re-id) methods perform poorly under changing
illuminations. This situation can be addressed by using dual-cameras that capture visible …

We present an attention-based model that reasons on human body shape and motion
dynamics to identify individuals in the absence of RGB information, hence in the dark. Our …

Person re-identification (re-id) aims to match people across non-overlapping camera views.
So far the RGB-based appearance is widely used in most existing works. However, when …

Person identification is a problem that has received substantial attention, particularly in
security domains. Gait recognition is one of the most convenient approaches enabling …

To avoid the illumination limitation in visible person re-identification (Re-ID) and the
heterogeneous issue in cross-modality Re-ID, we propose to utilize complementary …

Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …

Person re-identification aims at identifying a certain pedestrian across non-overlapping multi-
camera networks in different time and places. Existing person re-identification approaches …

Gait recognition is a popular remote biometric identification technology. Its robustness
against view variation is one of the challenges in the field of gait recognition. In this paper …