We develop a classification algorithm for hybrid autoregressive models of human motion for the purpose of videobased analysis and recognition. We assume that some temporal statist...
This paper proposes an approach to compute viewnormalized body part trajectories of pedestrians from monocular video sequences. The proposed approach first extracts the 2D trajec...
The performance of computer vision systems for measurement, surveillance, reconstruction, gait recognition, and many other applications, depends heavily on the placement of camera...
Robert Bodor, Paul R. Schrater, Nikolaos Papanikol...
Recognizing a person’s motion is intuitive for humans but represents a challenging problem in machine vision. In this paper, we present a multi-disciplinary framework for recogn...
This paper describes fall detection, activity recognition and the detection of anomalous gait in the Confidence project. The project aims to prolong the independence of the elderly...
Mitja Lustrek, Bostjan Kaluza, Erik Dovgan, Bogdan...