The key poses are computed over all sequences ( left({S}_1^G,{S}_{middots, {S}_{mid Gmid}^Gright) ) by using a k-medians clustering algorithm [32] with random initialization.
The principle consists of setting K to a value that can ensure a slight over-representation of the key poses.
The soft assignment vector o(t) describes the relative position of the vector in the space drawn by the key poses at frame t.
"But then I would shoot all the key poses that existed in whatever moves the digital double was doing, so that we had as much of that appliance in that lighting condition that we could get", said Nordby.
To capture the movement related to a key pose, they connect the output of a DPM to a set of motion templates.
When we use one vocabulary for all actions, key pose numbers increases dramatically.
The bottom graph shows the proposed solution for generating the key-pose of metric class m with variability, by replicating the same variability observed in the recorded dance.
Literature in the field of dance ethnology and gesture/movement analysis points out that the universe of dance and movement extrapolate the notion of precision in space [1, 12] and that reasoning in dance is much more diverse than the key-pose paradigm [13].
The process of synthesis consists in generating and concatenating closed-loop cycles of the key-poses underlying in the TGA model, with or without variability, and interpolating them according to the represented musical meter, at the chosen metric resolution.
Then, we use Hidden Markov Models (HMM) [31] in a soft assignment based approach (cf. Section 4.2) where each HMM observation consists of a projection on spatiotemporal words (e.g., the key-poses); thus we supposed that these HMM will manage gesture structuration and actions succession (e.g., transitions between HMM states).
The key question posed was this: In the next three months, the third quarter of 2003, will the number of employees at your company increase, stay the same or decrease?
