Document Type

Conference Proceeding

Publication Date


Publication Title

International Conference on Image Processing


Optical flow in monocular video can serve as a key for recognizing and tracking the three-dimensional pose of human subjects. In comparison with prior work using silhouettes as a key for pose lookup, flow data contains richer information and in experiments can successfully track more difficult sequences. Furthermore, flow recognition is powerful enough to model human abilities in perceiving biological motion from sparse input. The experiments described herein show that a tracker using flow moment lookup can reconstruct a common biological motion (walking) from images containing only point light sources attached to the joints of the moving subject.

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.


© Nicholas Howe


Additional files contains poster and zip file of video to supplement the paper Flow Lookup and Biological Motion Perception, accepted to the International Conference on Image Processing 2005. For clarity, time has been slowed down in these videos. All videos use MPEG-4 compression.

icip05poster.pdf (2441 kB)
Poster (14791 kB)
Video Clips



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