@CONFERENCE\{IMM2009-05745,
    author       = "R. R. Jensen and R. R. Paulsen and R. Larsen",
    title        = "Analyzing gait using a time-of-flight camera",
    year         = "2009",
    month        = "jun",
    keywords     = "Time-of-flight camera, Markov random Żelds, gait analysis,",
    booktitle    = "Proceedings of the Scandinavian Conference on Image Analysis",
    volume       = "",
    series       = "Lecture Notes in Computer Science",
    editor       = "Arnt-B{\o}rre Salberg",
    publisher    = "Springer",
    organization = "",
    address      = "Heidelberg",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/5745-full.html",
    abstract     = "An algorithm is created, which performs human gait anal-
ysis using {3-}dimensional data from a Time-of-°ight camera. For each
frame in a sequence the camera supplies cartesian coordinates in space
for every pixel in the frame. By using an articulated model the subject
pose is estimated in the depth map in each frame. The pose estimation
is based on likelihood, gradient, smoothness and a shape prior used to
solve a Markov random Żeld. Based on the pose estimates, and the prior
that movement is locally smooth, a sequential model is created, and a
gait analysis is done on this model. The output data are: Speed, Cadence
(steps per minute), Step length, Stride length (stride being two consec-
utive steps also known as a gait cycle), and Range of motion (angles of
joints). The created system produces good output data of the described
output parameters and requires no user interaction."
}