Complex human activities occurring in videos can be defined in terms of temporal configurations of primitive actions. Prior work typically hand-picks the primitives, their total...
We present a novel method for jointly performing recognition of complex events and linking fragmented tracks into coherent, long-duration tracks. Many event recognition methods re...
Michael T. Chan, Anthony Hoogs, Rahul Bhotika, A. ...
Abstract. Several models have been proposed for spatio-temporal selforganization, among which the TOM model by Wiemer [1] is particularly promising. In this paper, we propose to ad...
Cyclic motion underlies several human activities including exercising,running, and walking. Accurate tracking of such motion in video data helps in developing computer-aided appli...
Abstract Research in the field of sign language recognition has made significant advances in recent years. The present achievements provide the basis for future applications with t...