Using Temporal Coherence for Gait Pose Estimation From a Monocular Camera View
نویسندگان
چکیده
Predication of a pedestrian’s 3D pose using movie sequences is not straightforward because of the human body’s articulation and the complexity of biped locomotion. In this paper we show how temporal coherence can be employed to help the reconstruction of gait pose using corresponding silhouette moments of a video sequence from a monocular view. Virtual avatars were used to train the model for inferring the pose. The system was tested on a walking real person’s silhouettes and evaluated using different avatars that were not in the training set.
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