This paper studies robust gait features against pedestrian carrying and clothing condition
changes. Inspired by the fact that humans pay more attention to pose details based on part …

针对步态识别中由于衣着与背包的遮挡造成不能提取有鉴别性的步态特征,
从而导致识别准确率不高的问题, 提出一种结合残差网络和多级分块结构的步态识别方法 …

For decades, gait has been gathering extensive interest due to the advantage that it can be
measured from a distance without physical contact. However, for image/video-based gait …

Many gait recognition methods first partition the human gait into N-parts and then combine
them to establish part-based feature representations. Their gait recognition performance is …

Abnormal behavior poses a great threat to social security and stability. The resulting
violence or crime leads to terrible consequences. How to utilize reasonable means to predict …

Video person retrieval aims at matching video clips of the same person across non-
overlapping camera views, where video sequences contain more comprehensive …

Abstract Information contained in visual appearance and gait features can play an important
role in designing computer vision assisted person re-identification (ReID) systems. Fusion of …

Gait recognition is an important AI task, which has been progressed rapidly with the
development of deep learning. However, existing learning based gait recognition methods …

In computer vision applications, gait-based gender classification is a challenging task as a
person may walk at various angles with respect to the camera viewpoint. In some of the …

Gait recognition refers to video-based biometric techniques for recognizing subjects by
walking patterns under a long-distance situation. Despite the progress of existing gait …