This paper proposes a unified multi-modal image generation method to address two critical
challenges in visible-infrared (VI) person re-identification (ReID): the insufficiency of training …

Human motion prediction is the key technology for many real-life applications, eg, self-
driving and human–robot interaction. The recent approaches adopt the unrestricted full …

While gait recognition has seen many advances in recent years, the occlusion problem has
largely been ignored. This problem is especially important for gait recognition from …

Gait recognition is an emerging biometric technology for identifying pedestrians based on
their unique walking patterns. In past gait recognition, global-based methods are inadequate …

Existing methods for video-based person re-identification (ReID) mainly learn the
appearance feature of a given pedestrian via a feature extractor and a feature aggregator …

Smart wearable devices (SWDs) collect and store sensitive daily information of many
people. Its primary method of identification is still the password unlocking method. However …

Gait recognition has received widespread attention due to its non-intrusive recognition
mechanism. Currently, most gait recognition methods use appearance-based recognition …

Video-based gait recognition suffers from potential privacy issues and performance
degradation due to dim environments, partial occlusions, or camera view changes. Radar …

Gait recognition plays an important role in video surveillance and security by identifying
humans based on their unique walking patterns. The existing gait recognition methods have …

Most works for cloth-changing gait recognition assume that the sequences of different
clothes are accessible for each subject in the training set, which, however, is almost …