Authors:
Cathrine J. Thomsen
;
Thomas B. Moeslund
and
Troels H. P. Jensen
Affiliation:
Aalborg University, Denmark
Keyword(s):
Kinect Sensor, Video Animation, Performance Capture, Segmentation, Optical Flow.
Related
Ontology
Subjects/Areas/Topics:
Animation Algorithms and Techniques
;
Animation and Simulation
;
Animation from Motion Capture
;
Computer Vision, Visualization and Computer Graphics
;
Human Figure Animation
Abstract:
This paper is an investigation in a low cost solution for performing video animation using a Kinect v2 for
Windows, where skeleton, depth and colour data are acquired for three different characters. Segmentation of
colour and depth frames were based on establishing the range of a person in the depth frame using the skeleton
information, and then train a plane of the floor and exclude points close to it. Transitioning between motions
were based on minimizing the Euclidean distance between all feasible transitioning frames, where a source
and target frame would be found. Intermediate frames were made to create seamless transitions, where new
poses were found by moving pixels in the direction of the optical flow between the transitioning frames. The
realism of the proposed animation was verified through a user study to have a higher rate of preference and
perceived realism compared to no animation and animation using alpha blending.