Unsupervised Gait Recognition with Selective Fusion: Addressing Challenges in Cross-Clothing and Cross-View Scenarios

The authors propose a Selective Fusion method to address the challenges in Unsupervised Gait Recognition, including sequences of the same person in different clothes tending to cluster separately and sequences taken from front/back views lacking walking postures and not clustering well with other views.